qa presentation on software testing

QA Testing Presentation Template

Getting a new product or feature out the door goes far beyond the initial build. After the engineering or product team(s) have completed the development, the QA (quality assurance) team taps in to test the quality of the product before it goes live. A QA testing presentation allows teams to align on new product use cases, troubleshoot bugs or glitches, and fix any issues before launch. Teams can do this more efficiently with Beautiful.ai’s QA testing presentation example.   

The customizable template has everything you need to plan and test for new releases. A successful QA testing presentation can help product managers and engineering teams communicate internally and perfect the new feature or product prior to sharing it with customers.  

Our QA testing template can also help you:

• Communicate timelines and deliverables with key stakeholders
• Host internal bug bashes to get more eyeballs on the product or feature
• Troubleshoot issues and track workflows to fix any bugs

Use our template to create an effective QA testing presentation

A QA testing presentation allows teams to sync up on new releases to find and fix any glitches before the official launch. That’s why our template includes everything you need to create powerful QA testing slides. From your team’s process roadmap to testing metrics, tailoring this template to your own QA testing presentation is easy:

Pro tips for creating your own QA Presentation

As you use this template to build your own QA testing presentation, keep these do’s and don’ts in mind:

What did you find in your testing? Include any research findings relevant to the feature and showcase them with visually appealing infographics or screenshots.

The QA testing process is based on a new product or feature, so make sure your presentation reflects that. Customize this template by uploading your own visuals for the project that showcase what the group has been working on, and how teammates can test it.

Use a Kanban or calendar slide to make the deadlines and tasks obvious to your team. The modern layout will make it easy for team members to identify what they’re responsible for and when prior to the feature release.

Apply feedback to create a final or further iteration to the QA testing process, and add to your presentation if needed. This will help your team determine next steps and keep the momentum going.

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5 Secrets of the Successful QA Testing Presentation

Each tester at least once in his career faced the necessity of visualization of his knowledge, suggestions, project’s peculiarities, and so on. Software testing as a very sophisticated and many-sided process requires an establishment of the special systematization methodology.

QA company always tries to instill into its employees a habit to structure the information and to develop creative thinking in order to design an interesting and meaningful QA presentation.

What Are the Key Factors of a Good Test Presentation?

• Specification of the presentation topic and the audience. Understanding what idea should be messaged to the QA team and what kind of background its members possess is of great importance.
• Monitoring of the speaking manner. It is necessary to observe, for example, the peculiarities of web products testing , make pauses, manage the tempo, keep an eye-contact, and moderately gesticulate.
• Defining the content depth and the time limitations. Covering the differences between exploratory testing and ad-hoc testing , one should remember about the conciseness and do not neglect the time constraints.
• Maintaining the positive atmosphere. The disturbance, which usually swaps an orator, is better to transfer into the entertainment. Do not forget to fill the speech with the interesting facts and poetic notes.
• An ability to beautifully finish. After all ideas are represented, it is important to be ready for the questions, raised by the audience. Of course, do not hesitate to apply applause.

Thereafter, an ability to qualitatively and fairly introduce the presentation to the QA team involves certain preparatory stages and requires not an overnight practice.

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QA Process: A Complete Guide to QA Stages, Steps, & Tools

What is QA Process?

How is it different from quality control.

• 3.1 1. Analyze the Requirements
• 3.2 2. Plan the Tests
• 3.3 3. Design the Tests
• 3.4 4. Execute Tests and Report Defects
• 3.5 5. Run Re-Tests and Regression Tests
• 3.6 6. Run Release Tests

Test Automation as a Part of the QA Process

• 5.1 Manual Testing
• 5.2 Automated Testing
• 6.1 Risks of Not Implementing a QA Process
• 6.2 Benefits of Implementing a QA Process
• 7.1.1 Features

Quality Assurance (QA) is a critical aspect of software development that ensures the delivery of high-quality products that meet customer expectations. A well-defined software QA process helps identify and prevent defects, enhances customer satisfaction, reduces risks and costs, and improves overall product quality. In this comprehensive guide, we will walk you through the key stages, steps, and tools involved in the QA process.

Table Of Contents

• 1 What is QA Process?
• 2 How is it Different From Quality Control?
• 4 Test Automation as a Part of the QA Process
• 7.2.1 Features
• 7.3.1 Features

Quality assurance in software development aims to identify and prevent any potential issues that may occur throughout the entire project. It includes project management as QA tests involve various individuals.

QA process is implemented by a dedicated team of QA Engineers (QAs), Test Lead, and Test Manager. The ultimate aim of Quality Assurance Engineers (QAs) is to ensure that the company delivers an error-free and high-quality product that provides the best possible user experience.

Quality control (QC) involves testing the final product to identify and resolve issues before it is released to the market. Implementing an effective QA process enhances team collaboration, shortens development time, and reduces costs. Although the specific stages of the QA process may vary among companies, the core stages remain the same. Now that you have a better understanding of the QA process let’s explore its main stages.

What are the Main Stages in the QA Process?

The main stages in the quality assurance process typically include the following,

1. Analyze the Requirements

The QAs must understand and analyze the project requirements, including functional and non-functional aspects. Fixing a bug at the early stages of development will cost less when compared to fixing a bug at the testing/production stage.

That is why QAs must be involved in the initial stages of requirement analysis so they understand the requirements clearly and design the tests accordingly.

2. Plan the Tests

Now, the information gathered in the requirements analysis phase will be used for test planning . The test plan includes the testing strategy, scope, project budget, and deadlines. Also, it should include information about the required types and levels of testing and the testing tools. And when the test plan is ready, the test manager will allocate responsibilities to individual testers.

3. Design the Tests

Now, the QA teams create test cases and checklists based on the software requirements. Each test case includes conditions, data, and steps to validate functionality. Testers compare actual results with expected results to ensure accuracy.

If automation is part of the test scope, this is the stage where automation testing scenarios are created.

Also, the testing team should prepare the staging environment for test execution in this stage. The staging environment should closely resemble the production environment, including hardware, software, network configurations, databases, and system settings. It helps ensure accurate testing conditions .

4. Execute Tests and Report Defects

Tests begin with developers conducting unit tests at the individual code component level. Following that, the QA testing team carries out tests at the API and UI levels. Manual tests are conducted based on pre-designed test cases. All identified bugs will be recorded in a defect-tracking system for efficient management. Moreover, test automation engineers can utilize automated test tools like Testsigma to execute test scripts and generate detailed test reports.

5. Run Re-Tests and Regression Tests

After bugs have been identified, reported, and resolved, QA will again re-test the functions to ensure thorough validation and ensure they didn’t miss any user scenario. Additionally, they perform regression tests to confirm that the fixes haven’t caused any negative impact on the existing functionalities.

6. Run Release Tests

After developers notify about a release, the QA team identifies the affected functionalities. They create new test suites to cover the changes. The team also conducts smoke tests to check stability. If the tests pass, they run the modified test suites and generate a report.

Test automation is an integral part of the Quality Assurance process that involves using test automation tools and scripts to execute test cases and validate the functionality and quality of an application. Also, automation can be applied at different levels of testing .

It is particularly useful for regression testing, which involves checking modified software to find new defects. Further, it is also effective for load and performance testing.

Although it requires an initial investment in automated tools, there are scenarios when it is more cost-effective and efficient in the long term than manual testing.

Manual Testing

Manual testing involves human testers executing test cases and generating test reports. It is suitable for small test projects and can identify issues that may be missed in automated tests. Manual testing does not require advanced scripting knowledge and is relatively easy to perform. However, it can be time-consuming for large projects and is prone to human errors.

Automated Testing

Automation testing, on the other hand, is performed using automation testing tools. Here, test engineers create and write test scripts to test the application. It simulates user experiences, and test scripts can be reused multiple times.

Automation testing is beneficial for large projects but lacks the human touch and may overlook errors beyond its programmed scope. That is why exploratory testing is preferred, in which testers will think outside of the box to think of scenarios that might have been missed during automation testing.

Combining manual and automated testing yields good results. QA professionals need to evaluate and decide which approach to use for each project based on its specific requirements and considerations. But automation offers a ton of benefits when compared to manual testing, like reusable test scripts, easy parallel testing , less test execution time, fast testing, and more. Let’s discuss this further in the below sections.

Read here – Types of QA Testing .

Why Should QA Processes Be Implemented?

The QA process is crucial for several reasons. In this section, we will discuss the benefits of implementing a QA process and also the risk of not implementing a QA process.

Risks of Not Implementing a QA Process

The quality assurance (QA) process is a systematic activity performed by software testers to assess whether a product meets specific quality requirements. Neglecting the proper QA process can have detrimental effects on product quality, including:

• Dissatisfied Users: Software defects can drive away users and result in dissatisfaction, leading to decreased customer loyalty.
• Reputation Damage: A high number of negative reviews can harm your reputation and impact your brand image.
• Trust Issues: Poor product quality can erode trust among users and potential investors, causing potential difficulties.
• Sales Impact: Insufficient product quality can undermine sales efforts as new customers discover that the product doesn’t meet their needs, causing them to leave.
• Compatibility Problems: Introducing new updates may cause existing features to stop working properly.
• Distraction and Delays: Quality issues divert the team’s focus, with developers spending time fixing bugs instead of implementing new features and enhancements.
• Lack of QA Involvement: When dedicated professionals do not adequately carry out the QA process, there is a higher risk of overlooking critical quality aspects.
• Deployment Challenges: Quality issues can hinder the smooth deployment of new features to production, as the development team must first address existing defects.

It is crucial to prioritize the QA process to mitigate these risks and ensure a high-quality product that meets user expectations and drives customer satisfaction.

Benefits of Implementing a QA Process

On the other hand, implementing a well-organized QA process can significantly benefit your business. It enhances the quality of your product, leading to increased customer satisfaction and loyalty. Additionally:

• Your team can dedicate more time to enhancing the product and introducing new features.
• Satisfied users are less likely to raise complaints, reducing the workload on the customer support team.
• High product quality reduces concerns about potential failures.
• A proper QA process helps minimize project costs since preventing defects is more cost-effective than fixing them later on.

Tools Required for Quality Assurance Testing

There are various tools available that can aid in the QA testing process. The specific tools required may vary depending on the nature of the project, the technologies involved, and the QA objectives. Here are some commonly used automation testing tools that help speed up the entire testing process.

1. Testsigma

Testsigma is a robust cloud-based low-code test automation tool that lets you create and write test steps using NLPs (Natural Language Processing). That is, QAs can automate even complex workflows as plain English statements.For example, if you want to open a website, you can just use the NLP and create the test step as “ Navigate to www.testsigma.com “

Automate all your web, mobile, and desktop apps and APIs in one place. Testsigma is available as open-source and enterprise-ready versions. You can automate different types of testing using this one tool, including,

• API testing
• Responsive testing
• Cross-browser testing
• Portability testing
• Regression testing
• Visual testing , and more.

Now let’s discuss the top features of Testsigma that will benefit the QAs to automate testing.

• Make your testing process 5x faster
• Supports Java for testing scenarios that might require coding
• Simple and easy-to-use interface
• Supports both script-based and scriptless testing
• Perfect for both technical and non-technical users, as no coding knowledge is required
• Provides a record-and-playback feature
• Automate all your functional tests in one place
• Built-in test case review management features
• Easily create/edit/delete test steps
• Provides a Chrome extension called Testsigma Recorder to record test steps on the go as you use the website.

• Supports over 3000+ real devices and 1000+ browser/OS combinations for cross-browser and responsive testing.
• Works across different browsers and platforms.
• Integrates easily with various CI/CD tools and other third-party applications.

Testsigma offers a free trial and two paid plans – pro and enterprise .

Automate your tests for web, mobile, desktop and APIs, 5x faster, with Testsigma Checkout Testsigma

2. Selenium

Selenium is an open-source automation testing tool that allows users to test web applications. It is a code-based testing tool that allows you to create test scripts using multiple programming languages.

• Supports multiple programming languages – Java, PHP, JavaScript, Ruby, Perl, C#, R, Groovy, Scala, and Python.
• Supports multiple browsers and platforms.
• Selenium locators make it easy to identify and use web elements for testing
• Selenium WebDriver allows faster automation testing.
• Handles multiple dynamic web elements with ease
• It is portable and compatible
• Supports cross-browser testing of web applications. You can not test mobile apps with Selenium.

Katalon is another reputable test automation tool that supports web and mobile app testing. It offers record & playback to create automation test cases.

• Automate web service testing as well
• It is a free tool but not open-source
• Supports Groovy for code-based testing
• Easily integrates with Jira, Jenkins, Git, etc.

The QA process is critical to ensure the quality and reliability of software applications. It not only enhances the overall quality of the product but also brings significant business benefits. It allows teams to focus on product improvements and implementing new features, leading to increased customer satisfaction and loyalty. The QA process is not a one-time effort but a continuous endeavor. Adapting and evolving the QA process based on feedback, best practices, and the latest techniques will help you stay at the forefront of quality assurance in software development.

Frequently Asked Questions

What is an example of a QA process?

What are the three parts of QA?

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Quality Assurance in Software Testing: Examples, Benefits, and Methods

Quality Assurance in Software Testing is a crucial aspect of software development, ensuring that products meet high standards. Explore the importance of Quality Assurance in Software Testing and its best practices in this blog. Learn how it enhances product reliability, performance, and customer satisfaction, making it a crucial part of software development.

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QA is a systematic process that ensures software products meet specific requirements and are free from defects. Read this blog to explore the concepts of QA in Software Testing, its examples, benefits, and testing methods.  

Table of Contents  

1)  Understanding Quality Assurance in Software Testing 

2)  Quality Control vs. Quality Assurance 

3)  Benefits of QA in Software Testing 

4)  Methods of Quality Assurance in Software Testing 

5)  Examples of QA in Software Testing 

6)  Conclusion 

Understanding Quality Assurance in Software Testing  

Quality Assurance involves a set of activities that focus on preventing defects and ensuring that the software development process is efficient and effective. It encompasses processes, methodologies, and techniques to maintain and enhance the quality of software products. QA is not just limited to the testing phase; it begins from the early stages of the development lifecycle. 

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Quality Control vs. Quality Assurance  

Today, the terms Quality Control (QC) and Quality Assurance (QA) are often used interchangeably. However, they represent distinct facets of the Software Testing and validation process. Understanding the differences between these two concepts is crucial for building reliable and high-quality software products. Here is the major difference:  

1)  Quality Control: Quality Control primarily focuses on identifying and rectifying defects or issues in the software product. It involves the actual testing and inspection of the software to ensure that it meets the specified requirements and standards. QC is concerned with catching defects that have already occurred and determining whether the software adheres to the predetermined quality criteria.  

2)  Quality Assurance: Quality Assurance , on the other hand, is a proactive process that encompasses a set of systematic activities designed to prevent defects from occurring in the first place. QA involves implementing processes, methodologies, and standards to ensure that the software development process itself is of high quality. It is about creating a framework within which high-quality software can be consistently produced.

Benefits of Quality Assurance in Software Testing  

QA in Software Testing goes beyond just identifying and fixing bugs; it offers a plethora of benefits that contribute to the success of software projects and a company's overall reputation. Let's delve deeper into the key benefits that effective QA practices bring to the table:     

Enhanced c ustomer s atisfaction  

At the heart of any successful software product is the satisfaction of its users. QA plays a key role in ensuring that the software meets the expectations and needs of its intended audience. By rigorously testing the software for functionality, performance, and user experience, QA teams can identify and rectify issues before they reach the end-users.  

This proactive approach significantly reduces the probability of users encountering bugs, crashes, or other usability problems. As a result, users are more likely to have a positive experience with the software, leading to higher customer satisfaction rates and improved user retention. 

Cost s avings  

While some may see QA as an additional cost, it's more accurate to view it as an investment that leads to substantial cost savings in the long run. Identifying and addressing defects during the development phase is far more cost-effective than dealing with them after the software has been released to the market.  

Post-release bug fixes can be time-consuming and resource-intensive, often requiring updates, patches, and customer support efforts. QA helps catch issues early, preventing them from snowballing into larger problems down the line. By reducing the need for extensive post-release bug fixing, QA contributes to cost savings in terms of both time and resources.  

Competitive a dvantage  

Software products that are reliable, user-friendly, and bug-free attain a distinct competitive advantage in the market. In an era where consumers have an array of options to choose from, a superior software experience can set a company apart from its competitors.  

QA enables companies to deliver products that consistently meet or exceed user expectations, creating a loyal customer base and boosting market share. Moreover, a reputation for quality can attract partnerships and collaborations, further strengthening the company's position within the industry.  

Compliance and r isk m itigation  

Certain industries, such as healthcare and finance, have stringent regulatory requirements that software must adhere to. Failure to meet these requisites can lead to legal issues, fines, and reputational damage.  

QA ensures that software is tested against regulatory standards, minimising the risk of non-compliance and potential legal repercussions. Additionally, QA identifies potential security vulnerabilities and helps in implementing measures to mitigate cyber risks, safeguard sensitive user data and protect the company's interests. 

Long- t erm s ustainability  

Software products are not static; they evolve through updates, enhancements, and new features. A s trong QA foundation ensures that as the software grows and changes, its quality remains intact. QA practices contribute to the establishment of reliable and scalable testing frameworks, making it easier to maintain and improve the software in the long run. This sustainability is crucial for minimising technical debt and ensuring that the software remains relevant and competitive over its lifecycle. 

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Methods of Quality Assurance in Software Testing  

Quality Assurance in Software Testing involves various methods to ensure that software products meet the desired quality standards. Let's explore the different methods of QA in Software Testing: 

Manual Testing  

Manual Testing is a traditional approach where human Testers manually execute test cases without using automated tools. This method relies on the tester's intuition, creativity, and domain knowledge to simulate user interactions and identify potential defects.  

Manual Testing is particularly effective for exploratory testing, where Testers explore the software's functionalities without pre-defined scripts. It also suits scenarios where test cases are rapidly changing or where human judgment is critical, such as usability testing.

Automated Testing  

Automated Testing involves the use of specialised testing tools to execute pre-defined test cases automatically. This method is particularly effective for repetitive tasks, regression testing, and load testing.  

Automated Tests can be scripted to simulate user interactions, validate functionalities, and compare expected outcomes with actual results. The tests can be run repeatedly with minimal effort, providing rapid feedback on software quality.

Continuous Integration and Continuous Delivery (CI/CD)  

CI/CD is a modern approach that integrates QA into the software development and deployment pipeline. It involves frequent Code Integration, Automated Testing, and Continuous Deployment of changes to production environments. CI/CD emphasises building, testing, and deploying smaller, manageable increments of code, which reduces the risk of introducing defects and allows for rapid feedback and correction.  

In the CI/CD workflow, every code change triggers a series of Automated Tests, ranging from unit tests to end-to-end tests. This approach ensures that changes are thoroughly tested before being merged into the main codebase, promoting early defect detection and prevention. 

Exploratory Testing  

Exploratory Testing is a dynamic approach where Testers explore the software's functionalities, features, and user interactions without pre-defined test cases. Testers use their creativity, intuition, and domain knowledge to identify defects and scenarios that might not be covered by scripted tests. Exploratory Testing is especially effective for uncovering unexpected issues, validating user experience, and gaining a deeper understanding of the software's behaviour.

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Examples of Quality Assurance in Software Testing  

Quality Assurance in Software Testing involves a wide range of activities that ensure software products meet the desired quality standards. Let's delve into specific examples of how QA practices are applied in various real-world scenarios: 

1)  Web a pplications  

Consider a scenario where a software development company is building a web application for online banking. Here, QA plays a pivotal role in ensuring the application's security, functionality, and user experience. Here are some examples of QA practices for web application testing:   

a)  Functionality testing: QA Testers thoroughly test each feature of the web application. For instance, they verify the user authentication process, ensuring that login credentials are validated correctly and that only authorised users can access their accounts.   

b)  Usability testing: QA assesses the user interface to ensure it's intuitive and user-friendly. They test navigation, button placements, and overall design to provide a seamless user experience.  

c)  C ompatibility testing: QA Testers ensure that the web application functions consistently across different browsers (such as Chrome, Firefox, and Safari) and devices (desktops, tablets, and smartphones).  

d)   Performance testing: QA conducts load testing to ensure the application can handle a large number of simultaneous users without slowing down or crashing. This is crucial for preventing bottlenecks during peak usage times. 

2)  Mobile a pp t esting  

When it comes to mobile applications, QA is essential to deliver a smooth and reliable user experience across various devices and platforms. Let's explore QA practices in mobile app testing:  

a)   Device compatibility: QA Testers verify that the mobile app works seamlessly on different devices with varying screen sizes, resolutions, and hardware capabilities.  

b)   Functional testing: QA ensures that all app features, such as buttons, menus, and interactions, are functioning as intended. For example, they test the checkout process in an e-commerce app to confirm that items can be added to the cart and purchases can be completed.   

c)  Performance testing: QA assesses the app's performance under different conditions, including low network connectivity and varying levels of device resources. This ensures that the app remains responsive and functional even in challenging scenarios.  

d)  Security testing: QA identifies vulnerabilities that could compromise user data or the app's integrity. They test authentication mechanisms, data encryption, and permissions to ensure the app is secure from potential threats.  

Conclusion  

Quality Assurance in Software Testing is a critical component of the software development process. It ensures that software products are of high quality, reliable, and meet user expectations. Organisations can achieve robust QA practices and deliver exceptional software products by employing various methods such as manual and automated testing. Adopting best practices ensures that QA becomes an integral part of the development culture, ultimately leading to successful software outcomes.    

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Quality Assurance, Quality Control, and Testing — the Basics of Software Quality Management

• 31 min read
• Whitepapers ,   Business ,   Engineering
• 18 Dec, 2023
• 3 Comments Share

When you buy a pear, you can instantly evaluate its quality: the size and shape, ripeness, and the absence of visible bruising. But only as you take the first bite will you understand if the fruit is that good. Even a beautiful pear might taste sour or have a worm.

The same applies to almost any product, be it physical or digital. A website you find on the Internet may seem fine at first, but as you scroll down, go to another page, or send a contact request, it can start showing some design flaws and errors.

Yet, a sour pear won’t cause as much damage as a self-driving car with poor-quality autopilot software. A single mistake in an EHR system  might put a patient’s life at risk. At the same time, website performance issues might cost the owner millions of dollars in revenue.

That is why we at AltexSoft put a premium on the quality of software we build for our clients. This paper will share our insights on the quality assurance and testing process, best practices, and preferred strategies.

1. Software quality assurance vs quality control vs  testing

While to err is human, sometimes the cost of a mistake might be just too high. History knows   many situations when software flaws caused billions of dollars in waste or even led to casualties: from Starbucks coffee shops forced to give away free drinks because of a register malfunction to the F-35 fighter jet unable to detect the targets because of a radar failure.

Watch the video to learn what events triggered the development of software testing and how it has evolved through the years

The concept of software quality is introduced to ensure the released program is safe and functions as expected. It can be defined as “the capability of a software product to satisfy stated and implied needs under specific conditions. Additionally, quality refers to the degree to which a product meets its stated requirements.”

Q uality assurance (QA) , quality control (QC) , and  QA software testing are three aspects of quality management to ensure that a program works as intended Often used interchangeably, the three terms cover different processes and vary in their scope, though they have the same goal  — to deliver the best possible digital product or service.

Quality assurance vs quality control vs testing

What is quality assurance?

Quality assurance i s a broad term, explained on the   Google Testing Blog ,  as “ the continuous and consistent improvement and maintenance of process that… gives us confidence the product will meet the need of customers .” QA focuses on organizational aspects of quality management, aiming to improve the end-to-end product development life cycle , from requirements analysis to launch and maintenance.

QA plays a crucial role in the early identification and prevention of product defects. Among its key activities are

• setting quality standards and procedures,
• creating guidelines to follow across the development process,
• conducting measurements,
• reviewing and changing workflows to enhance them.

QA engages external stakeholders  and a broad range of internal specialists, including business analysts  (BAs),   QA engineers, and software developers. Its ultimate goal is to establish an environment ensuring the production of high-quality items and, thus, to build trust with clients.

What is quality control

Quality control is a part of quality management that verifies the product’s compliance with standards set by QA. Investopedia  defines it as a “ process through which a business seeks to ensure that product quality is maintained or improved and manufacturing errors are reduced or eliminated. ”

While QA activities aim to prevent issues across the entire development process, QC is about detecting bugs in the ready-to-use software and checking its correspondence to the requirements before the product launch . It encompasses code reviews and testing activities conducted by the engineering team.

What is software testing?

Testing  is the primary activity of detecting and solving technical issues in the software source code and assessing the overall product usability, performance, security, and compatibility. It has a narrow focus and is performed by test engineers in parallel with a development process or at the dedicated testing stage (depending on the methodological approach to the software development cycle).

The concepts of quality assurance, quality control, and testing compared

If applied to car manufacturing, a proper quality assurance process means that every team member understands the requirements and performs their work according to the commonly accepted guidelines. Namely, it ensures the performance of actions in the correct order, proper details implementation, and consistency of the overall flow so that nothing can harm the end product.

Quality control  is like a senior manager walking into a production department and picking a random car for an examination and test drive. In this case, testing  activities refer to checking every joint and mechanism separately and conducting crash tests, performance tests, and actual or simulated test drives.

Due to its hands-on approach,  software testing activities  remain a subject of heated discussion. That is why we will focus primarily on this aspect of software quality management. But before we get into the details, let’s define the major software testing principles.

2. Software testing principles

Formulated over the past 40 years, the   seven principles of software testing  represent the ground rules for the process.

Testing shows the presence of mistakes. Testing aims to detect the defects within a piece of software. But no matter how hard you try, you’ll never be 100 percent sure there are no defects. Testing can only reduce the number of unfound issues.

Exhaustive testing is impossible. There is no way to test all combinations of data inputs, scenarios, and preconditions within an application. For example, if a single app screen contains ten input fields with three possible value options each, test engineers need to create 59,049 (310) scenarios to cover all possible combinations. And what if the app contains 50+ of such screens? Focus on more common scenarios to avoid spending weeks creating millions of less possible ones.

Early testing. As mentioned above, the cost of an error grows exponentially throughout the stages of the software development life cycle ( SDLC ) . Therefore, it is important to start testing the code as soon as possible to resolve issues and not to snowball.

Defect clustering. O ften called an application of the   Pareto principle  to software testing, defect clustering implies that approximately 80 percent of all errors are usually found in only 20 percent of the system modules. If you find a bug in a particular component, there might be others. So, it makes sense to test this area of the product thoroughly.

Pesticide paradox. Running the same set of tests repeatedly won’t help you find more issues. As soon as you fix the detected errors, the previous scenarios become useless. Review and update them regularly to spot hidden mistakes.

Testing is context-dependent. Test applications  differently regarding the industry or goals. While safety could be of primary importance for a fintech product, it is less significant for a corporate website, emphasizing usability and speed.

Absence-of-errors fallacy. The absence of errors does not necessarily lead to a product’s success. No matter how much time you have spent polishing the code, the software will fail if it does not meet user expectations.

Some sources  note other principles besides the basic ones:

• Testing must be an independent process handled by unbiased professionals.
• Test for invalid and unexpected input values as well as valid and expected ones.
• Conduct tests only on a static piece of software (you should make no changes in the process of testing).
• Use exhaustive and comprehensive documentation to define the expected test results.

Yet the above-listed seven points remain undisputed guidelines for every software testing professional.  

3. When  testing happens in the software development life cycle

As mentioned above, testing happens at the dedicated stage of the software development life cycle or in parallel with the engineering process  — it depends on the project management methodology your team sticks to.

3.1. Waterfall model

Representing a traditional software development life cycle,   the Waterfall model  includes six consecutive phases: requirements gathering and analysis, system design, development, testing, deployment, and maintenance.

SDLC waterfall model

In the testing phase a product, already designed and coded, is being thoroughly validated before the release. However, the practice shows that software errors and defects detected at this stage might be too expensive to fix, as the cost of an error tends to increase throughout the software development process.

How the cost of error rises throughout the SDLF

It’s much cheaper to address errors at earlier stages. If not detected, say, during design, the damage grows exponentially throughout the further phases. Entering the development stage, unsolved errors become embedded in the application core and can disrupt the work of the product. Crucial changes to the program structure after testing or especially after release will require significant effort and investment, not to mention the reputation losses a malfunctioning app may cause.

Therefore, it is better to test every piece of software while the product is still being built. This is where   iterative Agile methods  prove beneficial.

3.2. Agile testing

Agile breaks the development process into smaller parts called   iterations  or sprints. This allows testers to work in parallel with the rest of the team and fix the flaws immediately after they occur.

Software development life cycle under Agile 

This approach is less cost-intensive: Affressing the errors early in the development process, before more problems snowball, is significantly cheaper and requires less effort. Moreover, efficient communication within the team and active involvement of the stakeholders speed up the process and allow for better-informed decisions.

You can find out more about   roles and responsibilities in a testing team  in our dedicated article.

The Agile testing approach is about building up a QA practice as opposed to having a QA team. Amir Ghahrai, a Senior Test Consultant at Amido, comments on this matter : “ By constructing a QA team, we fall in the danger of separating the testers from vital conversations with the product owners, developers, etc. In Agile projects, QA should be embedded in the scrum teams because testing and quality are not an afterthought. Quality should be baked in right from the start .”

3.3. DevOps testing

For those who have Agile experience,   DevOps  gradually becomes a common practice. This software development methodology requires a high level of coordination between various functions of the deliverable chain, namely development, QA, and operations.

Testing takes place at each stage of the DevOps model

DevOps is an evolution of Agile that bridges the gap between development along with QA and operations. It embraces the concept of continuous development, which in turn includes continuous integration and delivery  (CI/CD), continuous testing, and continuous deployment. DevOps places a great emphasis on automation and CI/CD tools that allow for the high-velocity shipment of applications and services. 

The fact that testing takes place at each stage in the DevOps model changes the role of testers and the overall idea of testing. Therefore, to be able to carry out their activities effectively, testers are now expected to be code-savvy.

According to the 2023 State of Testing survey , of all approaches, Agile is an undisputed leader, with almost 91 percent of respondents working at least in some Agile projects within their organizations. DevOps takes second place, accepted in 50 percent of organizations. Meanwhile, 23 percent of companies are still practicing Waterfall.

4. Software testing life cycle

Software testing life cycle (STLC) is a series of activities conducted within the software development life cycle or alongside the SDLC stages .  It typically consists of six distinct phases: requirement analysis, test planning, test case development, environment setup, test execution, and test closure . Each phase is associated with specific activities and deliverables.

Stages of software testing

4.1. Software testing requirement analysis

At this phase, a QA team reviews software requirements specifications  from a testing perspective and communicates with different stakeholders to gather additional details and identify test priorities. Based on the acquired information, experts decide on testing methods, techniques, and types and conduct an automation feasibility study  to understand which processes can be automated and with which tools.

An important document generated by the initial stage is a requirement traceability matrix (RTM) . It’s basically a checklist that captures testing activities and connects requirements to related test cases.

4.3. Test case development 

Next , QA or software engineers develop test cases   — detailed descriptions of how to assess a particular feature. It includes test preconditions, data inputs, necessary actions, and expected outcomes  Upon creation, a QA team reviews test cases and updates the RTM document linking them to requirements. The stage should produce a set of easy-to-understand and concise instructions that ensure a thorough testing process.

4.4. Test environment setup (250 potential, easy)

Once test cases are ready, they need a secured and isolated virtual space for execution  — a testing environment . It combines hardware, software, data, and networks configured for the requirements of the program being checked. T he test environment must emulate production scenarios as closely as possible .

Usually, companies set up several environments to conduct different tests  — unit, system, security, and so on. The end-to-end testing is typically performed in a staging environment which exactly replicates live conditions and employs real data but is not accessible for end users.

4.5. Test execution

A testing team starts to run test cases in the prepared environment. Then, QA engineers analyze the results and share outcomes with developers and stakeholders. If there are any bugs or defects, test execution repeats after developers have addressed the problems. The main deliverables of this stage are different test reports  — bug reports, test execution reports, test coverage reports, etc. The RTM also gets updated with test results.

4.6. Test closure

There is no perfect software, so the testing is never 100 percent complete. It is an ongoing process. However, we have the so-called “exit criteria,” which define whether there was “enough testing” based on the risk assessment of the project.

There are   common points  present in the exit criteria:

• Test case execution is 100 percent complete.
• A system has no high-priority defects.
• The performance of the system is stable regardless of the introduction of new features.
• The software supports all necessary platforms and/or browsers
• User acceptance testing is completed.

As soon as all of these requirements (or any custom ones you have set in your project) are met, the testing is closed. The test summary and closure reports are prepared and provided to the stakeholders. The team holds a retrospective meeting to define and document the issues that occurred during the development and improve the process.

5. Testing concepts and categories

Software testing comes in a variety of forms, happens at different stages of the development process, checks various parts of the software, focuses on a number of characteristics  — and, as a result, divides into many categories. Below, we’ll look into key concepts of software testing and how they interconnect with each other.

Software testing basic categories and concepts

5.1 Static testing vs dynamic testing 

The software testing process identifies two broad categories  — static testing and dynamic testing.

Static testing  initially examines the source code and software project documents to catch and prevent defects early in the software testing life cycle. Also called a non-execution technique or verification testing, it encompasses

• code reviews  — systematic peer inspections of the source code;
• code walkthroughs  — informal meetings when a developer explains a program to peers, receives comments and makes modifications to the code; and
• code inspections  — formal procedures carried out by experts from several departments to validate product compliance with requirements and standards.

As soon as the primary preparations are finished, the team proceeds with dynamic testing conducted during execution. This whitepaper focuses on dynamic testing as the most common way to validate code behavior. It varies by design techniques, levels, and types. You can do use case testing  (a type) during  the system or acceptance testing  (a level) using black box testing  (a design technique). Let’s examine each group separately.

5 .2. Levels of software testing

Software testing levels  vary in the scope of what is checked, ranging from a single component to an entire program as a whole. Commonly, before release, the code goes through four test layers: unit testing , integration testing , system testing , and acceptance testing .

Four levels of software testing

A unit or component is the smallest testable part of the software system. Therefore, this testing level examines separate parts (functions, procedures, methods, modules) of an application to make sure they conform with program specifications and work as expected.

Unit tests are performed early in the development process by software engineers, not the testing team. They are short in lines of code, quick, and typically automated: every popular programming language has a framework to run unit testing.

• Integration Testing

The objective of this level is to verify that units work well together as a group and also smoothly interact with other system elements — databases, external APIs , etc. It’s a time-consuming and resource-intensive process handled by test engineers, QA testers, or software developers.

There are two main approaches to this testing: bottom-up and top-down. The former starts with unit tests, successively increasing the complexity of the software parts evaluated. The top-down method takes the opposite approach, focusing on high-level combinations first and examining the simple ones later.

Bottom-up and top-down testing at the integration level

• System Testing

At this level, a complete software system is tested as a whole. The stage verifies the product’s compliance with the functional and non-functional requirements . A highly professional testing team should perform system testing in a staging environment that is as close to the real business use scenario as possible.

• Acceptance Testing

This is where the product is validated against the end-user requirements and for accuracy. Also known as user acceptance testing  (UAT), it is a high-level, end-to-end process that helps decide if the product meets acceptance criteria  and is ready to be shipped.

Acceptance criteria explained

While small issues should be detected and resolved earlier in the process, this testing level cares about overall system quality, from content and UI to performance issues.  The three common stages of UAT are

• alpha testing, performed by internal testers in a staging environment;
• beta testing, handled by a group of real customers in the production environment to verify that the app or website satisfies their expectations, and
• gamma testing, when a limited number of customers check particular specifications (primarily related to security and usability). At this stage, the product is 99 percent ready for release, so developers won’t make any critical changes. Feedback is to be considered in upcoming versions.

That said, many companies skip gamma testing because of tight deadlines, limited resources, and short development cycles.

Four levels of software testing compared

The four levels of testing come one after another, from checking the simpler parts to more complex groups mitigating the risks of bugs penetration to the release. In Agile development, this sequence of testing represents an iterative process, applying to every added feature. In this case, every small unit of the new functionality is being verified. Then, the engineers check the interconnections between units, the way the feature integrates with the rest of the system, and whether the new update meets end user needs.

5.3.Quality testing methods and techniques

Software testing methods  are the ways tests at different levels are conducted. They include black box testing , white box testing , gray box testing , ad hoc testing, and exploratory testing .

• Black box testing

This method gets its name because a QA engineer focuses on the inputs and the expected outputs without knowing how the application works internally and how these inputs are processed. The main purpose is to check the functionality of the software, making sure that it works correctly and meets user demands. Black box testing applies to any level but is mostly used for system and user acceptance testing.

Black box testing process

One of the popular techniques inside the black box category is use case testing .    A u se case simulates a real-life sequence of a user’s interactions with the software. QA experts and consumers can check the product against various scenarios to identify frustrating defects and weak points.

•  White box testing

Unlike black box testing, this method requires a profound knowledge of the code as it evaluates structural parts of the application. Therefore, developers directly involved in writing the program are generally responsible for conducting such checks. White box testing aims to enhance security, reveal hidden defects, and address them. This method is used at the unit and integration levels.

•  Gray box testing

The method combines the two previous ones, testing both functional and structural parts of the application. Here, an experienced engineer is at least partially aware of the source code and designs test cases based on the knowledge about data structures, algorithms used, etc. At the same time, the tester applies straightforward black-box techniques to evaluate the software’s presentation layer from a user’s perspective. Gray box testing is mainly applicable to the integration level.

•  Smoke testing

Smoke testing is a popular white box technique to check whether a build added to the software is bug-free. It contains a short series of test runs, evaluating a new feature against critical functionality. The goal is to confirm that the component is ready for further, more time-consuming and expensive testing. Any flaws signal the need to return the piece of code to developers.

•   Ad hoc testing

This informal testing technique is performed without documentation, predefined design, and test cases. A QA expert improvises steps and randomly executes them to spot defects missed by structured testing activities. Ad hoc testing can happen early  in the development cycle before a test plan is created.

Flexible and adaptive to changes, ad hoc testing is faster and more cost-effective than formal methods. At the same time, you need to complement it by more structured QA activities.

• Exploratory testing

E xploratory testing was first   described  by Cem Kaner, a software engineering professor and consumer advocate, as “ a style of software testing that emphasizes the personal freedom and responsibility of the individual tester to continually optimize the value of their work by treating test-related learning, test design, test execution, and test result interpretation as mutually supportive activities that run in parallel throughout the project .”

Similar to the ad hoc method, exploratory testing does not rely on predefined and documented test cases. Instead, it is a creative and freestyle process of learning the system while interacting with it. The approach enables testers and non-tech stakeholders to quickly validate the quality of the product from a user’s point of view and provide rapid feedback.

Both ad hoc and exploratory techniques belong to black box testing since they are functionality-centric, focus on validating user experience, not code, and don’t require knowledge of internal program structure.  

5.4 . Types of software testi ng

Based on the main objective, testing can be of different types. Here are the most popular testing types according to the State of Development Ecosystem Survey 2023  by JetBrains , a company specialized on creating tools for software engineers.

Widely-adopted software testing types

•  Functional Testing

This type assesses the system  against the functional requirements  by feeding its input and examining the output. Typically, the process comprises the following set of actions :

1. Outline the functions for the software to perform 2. Compose the input data depending on function specifications 3. Determine the output depending on function specifications 4. Execute the test case 5. Juxtapose the received and expected outputs

Functional testing employs the black box method where results, not the code itself are of primary significance. It’s usually performed at the system and user acceptance levels.

•   Performance Testing

P erformance testing investigates the speed, responsiveness and stability of the system under a certain load. Depending on the workload, a system’s behavior is evaluated by different kinds of performance testing:

• load testing —  at continuously increasing workload
• stress testing — at or beyond the limits of the anticipated workload
• endurance testing — at continuous and significant workload
• spike testing — at suddenly and substantially increased workload

The types of performance testing differ by their duration. Load and stress testing can last from 5 to 60 minutes. Soak testing requires hours, while spike testing takes just a few minutes.

Performance testing should start early in the development life cycle and often run along its stages. Like with other issues, the cost of addressing performance errors grows with the project’s progress.  

•   Regression Testing

Regression testing verifies software behavior after updates to ensure that changes haven’t harmed the updated element or other product components and interactions between them.

This type allows QA experts to check functional and non-functional aspects, employing both white box and black box methods. You can reuse previous scripts and scenarios to validate how a feature or whole product works after alterations. While relevant to any level, regression testing is most important for integration and system quality assurance.

• Usability Testing

Usability testing evaluates a user experience when interacting with a website or application. It shouldn’t be confused with user acceptance testing. While both engage end customers, they focus on different shortcomings and happen at different stages of the development cycle.

UAT occurs shortly before release and checks if the product allows customers to achieve their goals. Usability testing considers customer sentiments and assesses how easy-to-use and intuitive the product is. It can be conducted as early as the design phase, making a targeted audience evaluate a product’s prototype  before a certain logic or feature solidifies in code. It’s also important to carry out usability tests throughout the entire project, with different people involved.

• Security Testing

This testing type reveals vulnerabilities and threats that may lead to data leaks, malicious attacks, system crashes, and other problems. Common threat checks include but are not limited to

• penetration testing or ethical hacking, which simulates cyber attacks against the software under safe conditions;
• application security testing (AST);
• API security testing;
• configuration scanning to check the system against the list of security best practices;  and
• security audits to uncover security gaps and evaluate compliance with regulations and security requirements.

Security activities begin at the requirements analysis stage of SDLC, spanning later phases and all testing levels.

6 . Test automation

Test automation is critical in terms of   continuous testing  as it eases the burden of managing testing needs and saves engineers time and effort they can spend on creating better test cases.The ever-growing adoption of agile methodologies promotes both test automation and   continuous integration  practices as the cornerstone of effective software development.

The process of test automation  typically contains several consecutive steps:

• preliminary project analysis
• framework engineering
• test case development
• test cases implementation
• iterative framework support

Benefits of test automation.  Automation can be applied to almost every testing type at every level. It minimizes the human effort required to run tests and reduces time-to-market and the cost of errors because the tests are performed up to 10 times faster when compared to the manual testing process. Moreover, such a testing approach covers over 90 percent of the code, unveiling the issues that might not be visible in manual testing and can scale as the product grows.

Test automation in numbers.  According to the 2023 SoftwaSre Testing and Quality Report  by a test management platform TestRail , a manual approach still prevails, with 40 percent of tests being automated on average. Yet, automation shows a steady increase  — in 2020, its coverage was only 35 percent.

Open-source frameworks lead the pack of most popular tools, even among large enterprises. Selenium, Cypress, JUnit, TestNG, Appium, Cucumber, and Pytest proved to be the most popular instruments across a range of testing types  — from regression to API testing.

We invite you to check out our article that compares the most popular   automated testing tools ,  including   Selenium , Katalon Studio , TestComplete, and Ranorex.

Developing automated testing is indicated as the biggest challenge by 39 percent of organizations. At the same time, participants of TestRail’s survey mentioned automating more tests as their top objective, followed by reducing bugs in production. Most often, companies consider adopting automation for regression testing (38 percent), Web UI testing (34 percent), end-to-end (E2E) testing (33 percent), integration testing (26 percent), and mobile testing (23 percent).

Automated testing activities organizations consider adopting. Source: 2023 Software Testing and Quality Report

It’s worth noting that the most effective testing practices combine manual and   automated testing activities to achieve the best results.

7. Quality assurance specialist

A quality assurance specialist is a broad term encompassing any expert involved in QA activities. In small organizations, this position can mean being a master of all trades, responsible for the end-to-end QA process, from quality standards development to test execution. Yet, with business growth, the duties are spread across different roles. Below is a list of key positions to form a full-fledged QA team.

Software test engineer or tester is a QA specialist who mainly relies on manual methods.  These experts  develop and execute test cases, document bugs and defects, and report test results. The role is mainly concerned with software conformity to functional requirements. Testers don’t necessarily need to know programming languages. They must rather be advanced users of various testing tools.

Test analyst is an entry position with focus on business problems, not technical aspects of testing. Analysts interact with stakeholders and BAs to clarify and prioritize test requirements. Another area of responsibility is designing and updating procedures and documents  — test plans, coverage reports, summaries, etc.

QA automation engineer must have programming skills to write testing scripts. People in this position also set up automation environments and prepare data for repeated testing. Other tasks include developing an automation framework and integrating tests into a CI/CD pipeline.

While still doing manual testing, QA engineers have a wider range of responsibilities than STEs. For example, they analyze existing processes and suggest improvements to the development cycle so that errors can be prevented rather than detected at later stages.

Software development engineer in test (SDET) combines testing, development, and DevOps skills to create and implement automated testing processes.  In many companies, SDET is used interchangeably with a QA automation engineer. Yet, unlike the latter, SDET is capable of performing source code reviews and evaluating code testability to refine the code quality.  This specialist must have a solid software engineering background, master several programming languages, and understand ins and out of the system being developed.

Test architect  is a senior specialist who designs complex test infrastructures, identify tech stack for QA processes, and work out high-level test strategies. This position is typically present in large enterprises.

For more information, read our articles on the SDET role and responsibilities  and other QA engineering roles .

8 . Software testing trends

As a part of technological progress, testing is continually evolving to meet ever-changing business needs as it adopts new tools that allow the tester to push the boundaries of quality assurance.

“Hot topics” in software testing in the coming years according to the PractiTest survey 

New subjects expected to affect software testing in the near future are security, artificial intelligence, and big data. 

The World Quality Report survey  shows that security is one of the most important elements of an IT strategy. Input from security is vital to protecting the business. Security vulnerabilities can seriously tarnish brand reputation. For those reasons, test environments and test data are considered the main challenges in QA testing today.

Data protection and privacy laws also raise concerns about the security of test environments. If an environment contains personal test data and suffers a security breach, businesses must notify the authorities immediately. As a result, it is so important for test environments to be able to detect data breaches.

Most popular in cloud environments, security testing  intends to uncover system vulnerabilities and determine how well it can protect itself from unauthorized access, hacking, any code damage, etc. While dealing with the code of application, security testing refers to the white box testing method.

The four main focus areas in security testing:

• Network security
• System software security
• Client-side application security
• Server-side application security

It is highly recommended to include security testing as part of the standard software development process.

• Artificial Intelliigence and the rise of generative AI

Although AI test automation solutions are not well-established yet, the shift towards more intelligence in testing is inevitable. Cognitive automation, machine learning , self-remediation, predictive analysis, are promising techniques for the future of test automation.

That said, a Boston-based startup   Mabl  already simplifies functional testing by combining it with machine learning. “ As we met with hundreds of software teams, we latched on to this idea that developing... is very fast now, but there’s a bottleneck in QA, ”   says  Izzy Azeri, a co-founder of Mabl. “ Every time you make a change to your product, you have to test this change or build test automation .”

With Mabl, there is no need to write extensive tests by hand. Instead, you show the application the workflow you want to test, and the service performs those tests. Mabl can even automatically adapt to small user interface changes and alert developers to any visual changes, JavaScript errors, broken links, and increased load times.

One of the most promising technologies in terms of testing is generative AI . It can be employed  to improve different aspects of the STLC, including early defect detection, producing synthetic data  for tests, automating test case development, and more. Experiments revealed  that generative-AI-fueled tools help refactor test cases 30-40 percent faster and decrease bugs by 40 percent compared with traditional instruments.

Managing huge volumes of data that are constantly uploaded on various platforms demands a unique approach to testing, as traditional techniques can no longer cope with existing challenges.

Big data  testing aims to assess the quality of data against various characteristics like conformity, accuracy, duplication, consistency, validity, completeness, etc. Other types of QA activities within the Big Data domain are data ingestion testing, database testing, and data processing verification which employs tools like Hadoop , Hive, Pig, and Oozie to check whether business logic is correct .

Conclusi on

In 2012, Knight Capital Americas, a global financial firm, experienced an error in its automated routing system for equity orders – the team deployed untested software to a production environment. As a result, the company lost over   $460 million in just 45 minutes , which basically led to its bankruptcy.

History knows many more examples of software incidents which caused similar damage. Yet, testing remains one of the most disputed topics in software development. Many product owners doubt its value as a separate process, putting their businesses and products at stake while trying to save an extra penny.

Despite a widespread misbelief that a tester’s only task is to find bugs , testing and QA have a greater impact on the final product's success. Having a deep understanding of the client’s business and the product itself, QA engineers add value to the software and ensure its excellent quality. Moreover, by applying their extensive knowledge of the product, testers can bring value to the customer through additional services, like tips, guidelines, and product use manuals. This results in reduced cost of ownership and improved business efficiency.

• The Three Aspects of Software Quality –   http://www.davidchappell.com/writing/white_papers/The_Three_Aspects_of_Software_Quality_v1.0-Chappell.pdf
• Foundations of Software Testing: ISTQB Certification –   https://www.amazon.com/Foundations-Software-Testing-ISTQB-Certification/dp/1844809897
• Software Engineering: A Practitioner’s Approach –   https://www.amazon.com/Software-Engineering-Practitioners-Roger-Pressman/dp/0073375977/
• Test Strategy –   http://www.satisfice.com/presentations/strategy.pdf
• Test Strategy and Test Plan –   http://www.testingexcellence.com/test-strategy-and-test-plan/
• IEEE Standard for Software and System Test Documentation 2008 –   https://standards.ieee.org/findstds/standard/829-2008.html
• ISTQB Worldwide Software Testing Practices REPORT 2017-18 –   https://www.turkishtestingboard.org/en/istqb-worldwide-software-testing-practices-report/
• Defining Exploratory Testing –   http://kaner.com/?p=46
• Evaluating Exit Criteria and Reporting –   http://www.softwaretestingmentor.com/evaluating-exit-criteria-and-reporting-in-testing-process/
• Securities Exchange Act of 1934 –   https://www.sec.gov/litigation/admin/2013/34-70694.pdf
• World Quality Report 2017-18 | Ninth Edition –   https://www.sogeti.com/globalassets/global/downloads/testing/wqr-2017-2018/wqr_2017_v9_secure.pdf
• 2023 State of Testing report – https://www.practitest.com/state-of-testing/?utm_medium=button&utm_source=qablog
• DevOps Testing Tutorial: How DevOps will Impact QA Testing?  –   https://www.softwaretestinghelp.com/devops-and-software-testing/
• Benefits of Generative AI in Ensuring Software Quality  — https://katalon.com/resources-center/blog/benefits-generative-ai-software-testing
• The 2023 Software Testing and Quality Report  — https://www.testrail.com/resource/the-2023-software-testing-quality-report/

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4) Learn Software Testing for Beginners

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5) All About Unit Testing

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The Ultimate List of 100 Software Testing Quotes

A list of great quotes around software testing from experts and thought leaders..

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Sometimes metaphors and analogies simply say it best. That’s why we love to read software testing quotes because they reveal many truths about our unique discipline. From humorous to insightful, here is our  ultimate list of 100 software testing quotes.  We’ve included quotes from figures like Dorothy Graham and James Bach on topics spanning everything from finding bugs to test management. I recommend bookmarking this page so you can quickly whip out a quote whenever you need one. I know that whenever I write a blog post for  Abstracta US , I am always looking for a good, relevant quote. Feel free to share these, use them in presentations and web pages, or make  tweets  out of them!

A special thanks to  Mike Lyles  for contributing some quotes from Michael Bolton and Karen N. Johnson! We also managed to scan the web and added one of your own. 

Quotes about Quality

1. “Quality is free, but only to those who are willing to pay heavily for it.” —   DeMarco and Liste r

2. “The bitterness of poor quality remains long after the sweetness of low price is forgotten.” —   Benjamin Franklin

3. “Quality is not an act, it is a habit.” —   Aristotle

4. “Software never was perfect and won’t get perfect. But is that a license to create garbage? The missing ingredient is our reluctance to quantify quality.” —   Boris Beizer

5. “Geeks are people who love something so much that all the details matter.” —   Melissa Meyer, Yahoo! CEO

6. “Be a yardstick of quality. Some people aren’t used to an environment where excellence is expected.” —   Steve Jobs  

7.  If you’re relentlessly focused on lowering cost, you’ll quickly become oblivious to opportunities to increase value.@MICHAELBOLTON

8. “…Quality debt focuses on the impact of implementation and quality decisions on the end user and business; how those decisions affect their ability to do their day-to day-job.” —  Jordan Setters

9. “Quality means doing it right even when no one is looking.” —  Henry Ford

10. “Fast, good, cheap: pick any two.” — Anonymous

Software Testing Quotes

11. “Testers don’t like to break things; they like to dispel the illusion that things work.” —  Kaner, Bach, Pettichord

12. “You can see a lot by just looking.” —  Yogi Berra

13. “Pretty good testing is easy to do (that’s partly why some people like to say ‘testing is dead’– they think testing isn’t needed as a special focus because they note that anyone can find at least some bugs some of the time). Excellent testing is quite  hard  to do.” —   James Bach

14. “A pinch of probability is worth a pound of perhaps.” —  James Thurber

15. “Testing is not responsible for the bugs inserted into software any more than the sun is responsible for creating dust in the air.” —  Dorothy Graham

16. “To those who say that “if you need testing at the end, you’re doing it wrong”, would you prefer a Boeing, or are you going Air Icarus?” —  Michael Bolton

17. “The problem is not that testing is the bottleneck. The problem is that you don’t know what’s in the bottle. That’s a problem that testing addresses.“ —   Michael Bolton

18.  “As ironic as it seems, the challenge of a tester is to test as little as possible. Test less, but test smarter.”@FLTOLEDO

19. “I am pretty sure there is a difference between “this has not been proven” and “this is false.” —  Ron Jeffries

20. “Testing is a skill. While this may come as a surprise to some people it is a simple fact.” —  Fewster and Graham

21. “You can be a great tester if you have programming skills. You can also be a great tester if you have no programming skills at all. And, you can be a lousy tester with or without programming skills. A great tester will learn what skills she needs to continue to be great, in her own style.” —  Jerry Weinberg

22. “No amount of testing can prove a software right, a single test can prove a software wrong.” — Amir Ghahrai

23. “Discovering the unexpected is more important than confirming the known.“ —  George E. P. Box

24. “The most exciting phrase to hear in science, the one that heralds discoveries, is not ‘Eureka!’ but ‘Now that’s funny…'” —  Isaac Asimov

25. “Testing is an infinite process of comparing the invisible to the ambiguous in order to avoid the unthinkable happening to the anonymous.” —  James Bach

26. “We only see what we know.” —  Goethe

27.  “Pay attention to zeros. If there is a zero, someone will divide by it.”@DRCEMKANER

28. “The more effort I put into testing the product  conceptually  at the start of the process, the less I effort I had to put into manually testing the product at the end because less bugs would emerge as a result.” —   Trish Khoo

29. “I do believe it’s important for testers to know the market that their client or their employer is in and the reason for that is if you understand what risks your client is facing and you understand what the competing products are and where the challenges lie in the market, you can plan your testing accordingly.” —  Karen N. Johnson

30. “I think when you hear the phrase ‘it’s just test code’. To me that’s a code smell.” —  Alan Page

31. “Testers don’t break software, software is already broken.” — Amir Gahrai

32. “Documents are the corpse of knowledge.” —   Rick Bradley

33. “Just because you’ve counted all the trees doesn’t mean you’ve seen the forest.” — Anonymous

34. “As a rule, software systems do not work well until they have been used, and have failed repeatedly, in real applications.” —  Dave Parnas

35. “It’s not at all important to get it right the first time. It’s vitally important to get it right the last time.” —  Andrew Hunt and David Thomas

37.  “Testing leads to failure, and failure leads to understanding.”@BURTRUTAN

Quotes About Bugs

38. “If we want to be serious about quality, it is time to get tired of finding bugs and start preventing their happening in the first place.” —  Alan Page

39. “More than the act of testing, the act of designing tests is one of the best bug preventers known.” —  Boris Beizer

40. “Debugging is twice as hard as writing the code in the first place. Therefore, if you write the code as cleverly as possible, you are, by definition, not smart enough to debug it.” —  Brian W. Kernighan

41. “When debugging, novices insert corrective code; experts remove defective code.” —  Richard Pattis

42. “It’s hard enough to find an error in your code when you’re looking for it; it’s even harder when you’ve assumed your code is error-free.” —  Steve McConnell

43. “Beware of bugs in the above code; I have only proved it correct, not tried it.” —  Donald Knuth

Quotes About Performance

44. “Just as athletes can’t win without a sophisticated mixture of strategy, form, attitude, tactics, and speed, performance engineering requires a good collection of metrics and tools to deliver the desired business results.” —  Todd DeCapua

45. “If an end user perceives bad performance from your website, her next click will likely be on your-competition.com.” ―  Ian Molyneaux

Quotes About Automation

47. “Automation does not do what testers used to do, unless one ignores most things a tester really does. Automated testing is useful for extending the reach of the testers work, not to replace it.” — James Bach

48.  “It’s automation, not automagic.”JIM HAZENClick to tweet

Funny Quotes

49. “Right or wrong, it’s very pleasant to break something from time to time.” —  Fyodor Dostoevsky , courtesy of Elena Houser’s blog   

50. “Where is the ‘any’ key?” —   Homer Simpson

51. “f u cn rd ths, u cn gt a gd jb n sftwr tstng.” — Anonymous

52. “To an optimist, the glass is half full. To a pessimist, the glass is half empty. To a good tester, the glass is twice as big as it needs to be.” — Anonymous

53. “Irreproducible bugs become highly reproducible right after delivery to the customer.” — Michael Stahl’s derivative of Murphy’s Law

54. “Q: How many testers does it take to change a lightbulb? A: None, they just tell you that the room is dark.” — Anonymous

55. “All code is guilty until proven innocent.” — Anonymous

56. “A computer once beat me at chess, but it was no match for me at kickboxing.” —  Emo Philips

57.  “If you think your users are idiots, only idiots will use it.”@LINUS_TORVALDS

58. “Software and cathedrals are much the same: first we build them, then we pray.” — Anonymous

59. “First law of Bad Management: If something isn’t working, do more of it.” —  DeMarco

60. “The only system which is truly secure is one which is switched off and unplugged, locked in a titanium lined safe, buried in a concrete bunker, and is surrounded by nerve gas and very highly paid armed guards. Even then, I wouldn’t stake my life on it.” —  Gene Spafford

61. “Silicon Valley is the QA department for the rest of the world. It’s where you test out new business models.” —  James Cham

62. “Alpha is simply that you want somebody to share your pain!” —   Anonymous

63. “Weeks of programming can save you hours of planning.” —   Anonymous

64. “Programming can be fun, so can cryptography; however they should not be combined.” —  Kreitzberg and Shneiderman

65. “The computer was born to solve problems that did not exist before.” —  Bill Gates

66. “There are 10 types of people in this world: those who understand binary and those who don’t.” —   Anonymous

67. “The internet? That thing is still around?” —  Homer Simpson

68. “I think it’s a new feature. Don’t tell anyone it was an accident.” —  Larry Wall

69. “Walking on water and developing software from a specification are easy if both are frozen.” —   Edward V. Berard

70. “I don’t care if it works on your machine! We are not shipping your machine!” — Vidiu Platon

Quotes About Software

71. “As any poet knows, a system is a way of looking at the world.” —   Jerry Weinberg

72. “If the software doesn’t have to work, you can always meet any other requirement.” —  Jerry Weinberg

73.  “A system is never finished being developed until it ceases to be used.”@JERRYWEINBERG

74. “Software is like entropy: It is difficult to grasp, weighs nothing, and obeys the Second Law of Thermodynamics; i.e., it always increases.” —  Norman Augustine

75. “Software is a gas; it expands to fill its container.” —  Nathan Myhrvold

76. “The first 90% of the code accounts for the first 90% of the development time. The remaining 10% of the code accounts for the other 90% of the development time.” —  Tom Cargill

77. “It’s hardware that makes a machine fast.  It’s software that makes a fast machine slow.” — Craig Bruce

78. “Computers are good at following instructions, but not at reading your mind.” —  Donald Knuth

79. “First, solve the problem. Then, write the code.” —   John Johnson

80. “Any fool can write code that a computer can understand. Good programmers write code that humans can understand.” —   Martin Fowler

Quotes About Tools

81.  “A fool with a tool is still a fool.”@GRADY_BOOCH

82. “Just like with everything else, tools won’t give you good results unless you know how, when, and why to apply them. If you go out and you buy the most expensive frying pan on the market it’s still not going to make you a good chef.” —  Christin Wiedemann

83. “He who thinks a tool can solve all problems, has a new problem.” —  Federico Toledo

Quotes about Testers and Developers

84. “We have as many testers as we have developers. And testers spend all their time testing, and developers spend half their time testing. We’re more of a testing, a quality software organization than we’re a software organization.” —  Bill Gates

85. “A great tester gives programmers immediate feedback on what they did right and what they did wrong. Believe it or not, one of the most valuable features of a tester is providing  positive  reinforcement. There is no better way to improve a programmer’s morale, happiness, and subjective sense of well-being than a La Marzocco Linea espresso machine to have dedicated testers who get frequent releases from the developers, try them out, and give negative and  positive feedback.” -–  Joel Spolsky

86. “I remember the days when QA testers were treated almost as second-class citizens and developers ruled the software world. But as it recently occurred to me: we’re  all  testers now.”  — Joe Colantonio

87. “Testing has to be an integral part of developing software and not a separate phase. When this approach is taken, product quality is owned by everyone on the team. It is easy to state, but hard to put into practice because of long-standing preconceived notions that developers and testers are better kept apart.” —  James Sivak

Quotes About Management

88. “Think outside the thought leadership to avoid being a thought follower. Adopting a good idea means you’ll still evaluate the next one.” —  Lanette Creamer

89.  “‘Industry Best Practice’ is more likely to mean industry lowest common denominator.”JASON YIP

90. “Having a testing specialist on the team is a valuable asset, but the role of a specialist isn’t to restrict that responsibility to a single person.” —  Trish Khoo

91. “The key to building a great product is building a great team first. To me, great teams aren’t bound by roles, but they’re driven by moving forward.” —  Alan Page

92. “While we may understand the problem, it is critical for us to change our thinking, our practices, and continuously evolve to stay ahead of the problems we face.” —  Mike Lyles

93. “We cannot solve our problems with the same thinking we used when we created them.” —   Albert Einstein

94. “The more you improve the way you go about your work, the harder the work will be.” — Lister, DeMarco

95. “Ever Tried. Ever failed. No matter. Try again. Fail again. Fail better.” — Samuel Beckett  

96.  “Earning  the “annoying” label for asking questions is ok, but becoming “annoying” via your response to their answers isn’t.” — Scott Barber

97. “I’m pretty much convinced that if you want a team to go fast, a feeling of momentum is more important than a sense of urgency.”  — Elisabeth Hendrickson  

98. “If we fail, we fall. If we succeed – then we will face the next task.” — Gandalf (Tolkien)

99.  “Everything really interesting that happens in software projects eventually comes down to people.”@JAMESMARCUSBACH

100. “When a flower doesn’t bloom you fix the environment in which it grows, not the flower.” — Alexander Den Heijer via Anne-Marie Charrett

Last But Not Least

Here is a bonus quote from our favorite performance testing guru, Scott Barber:

101. “Only conducting performance testing at the conclusion of system or functional testing is like conducting a diagnostic blood test on a patient who is already dead.” — Scott Barber

Published at DZone with permission of Sofia Palamarchuk , DZone MVB . See the original article here.

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