presentation about 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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Software testing is the process of evaluating and verifying that a software product or application does what it’s supposed to do. The benefits of good testing include preventing bugs and improving performance.

Software testing today is most effective when it is continuous, indicating that testing is started during the design, continues as the software is built out, and even occurs when deployed into production. Continuous testing means that organizations don’t have to wait for all the pieces to be deployed before testing can start. Shift-left, which is moving testing closer to design, and shift-right, where end-users perform validation, are also philosophies of testing that have recently gained traction in the software community. When your test strategy and management plans are understood, automation of all aspects of testing becomes essential to support the speed of delivery that is required.

Strategic application modernization is one key to transformational success that can boost annual revenue and lower maintenance and running costs.

Register for the guide on DaaS

There are many different types of software tests, each with specific objectives and strategies:

• Acceptance testing: Verifying whether the whole system works as intended.
• Code review: Confirming that new and modified software is following an organization’s coding standards and adheres to its best practices.
• Integration testing: Ensuring that software components or functions operate together.
• Unit testing: Validating that each software unit runs as expected. A unit is the smallest testable component of an application.
• Functional testing: Checking functions by emulating business scenarios, based on functional requirements. Black-box testing is a common way to verify functions.
• Performance testing: Testing how the software runs under different workloads. Load testing, for example, is used to evaluate performance under real-life load conditions.
• Regression testing: Checking whether new features break or degrade functionality. Sanity testing can be used to verify menus, functions and commands at the surface level, when there is no time for a full regression test.
• Security testing: Validating that your software is not open to hackers or other malicious types of vulnerabilities that might be exploited to deny access to your services or cause them to perform incorrectly.
• Stress testing: Testing how much strain the system can take before it fails. Stress testing is considered to be a type of non-functional testing.
• Usability testing: Validating how well a customer can use a system or web application to complete a task.

In each case, validating base requirements is a critical assessment. Just as important, exploratory testing helps a tester or testing team uncover hard-to-predict scenarios and situations that can lead to software errors.

Even a simple application can be subject to a large number and variety of tests. A test management plan helps to prioritize which types of testing provide the most value—given available time and resources. Testing effectiveness is optimized by running the fewest number of tests to find the largest number of defects.

Software testing arrived alongside the development of software, which had its beginnings just after World War II. Computer scientist Tom Kilburn is credited with writing the first piece of software, which debuted on 21 June 1948 at the University of Manchester in England. It performed mathematical calculations by using machine code instructions.

Debugging was the main testing method at the time and remained so for the next two decades. By the 1980s, development teams looked beyond isolating and fixing software bugs to testing applications in real-world settings. It set the stage for a broader view of testing, which encompassed a quality assurance process that was part of the software development lifecycle.

Few can argue against the need for quality control when developing software. Late delivery or software defects can damage a brand’s reputation, which leads to frustrated and lost customers. In extreme cases, a bug or defect can degrade interconnected systems or cause serious malfunctions.

Consider Nissan having to recall over 1 million cars due to a software defect in the airbag sensor detectors, or a software bug that caused the failure of a USD 1.2 billion military satellite launch. 1 The numbers speak for themselves. Software failures in the US cost the economy USD 1.1 trillion in assets in 2016. What’s more, they impacted 4.4 billion customers. 2

Though testing itself costs money, companies can save millions per year in development and support if they have a good testing technique and QA processes in place. Early software testing uncovers problems before a product goes to market. The sooner development teams receive test feedback, the sooner they can address issues such as:

• Architectural flaws
• Poor design decisions
• Invalid or incorrect functionality
• Security vulnerabilities
• Scalability issues

When development leaves ample room for testing, it improves software reliability and high-quality applications are delivered with few errors. A system that meets or even exceeds customer expectations leads to potentially more sales and greater market share.

Software testing follows a common process. Tasks or steps include defining the test environment, developing test cases, writing scripts, analyzing test results and submitting defect reports.

Testing can be time-consuming. Manual testing or ad hoc testing might be enough for small builds. However, for larger systems, tools are frequently used to automate tasks. Automated testing helps teams implement different scenarios, test differentiators (such as moving components into a cloud environment), and quickly get feedback on what works and what doesn't.

A good testing approach encompasses the application programming interface (API), user interface and system levels. The more tests that are automated, and run early, the better. Some teams build in-house test automation tools. However, vendor solutions offer features that can streamline key test management tasks such as:

Continuous testing

Project teams test each build as it becomes available. This type of software testing relies on test automation that is integrated with the deployment process. It enables software to be validated in realistic test environments earlier in the process, which improves design and reduces risks.

Configuration management

Organizations centrally maintain test assets and track what software builds to test. Teams gain access to assets such as code, requirements, design documents, models, test scripts and test results. Good systems include user authentication and audit trails to help teams meet compliance requirements with minimal administrative effort.

Service virtualization

Testing environments might not be available, especially early in code development. Service virtualization simulates the services and systems that are missing or not yet completed, enabling teams to reduce dependencies and test sooner. They can reuse, deploy and change a configuration to test different scenarios without having to modify the original environment.

Defect or bug tracking

Monitoring defects is important to both testing and development teams for measuring and improving quality. Automated tools allow teams to track defects, measure their scope and impact, and uncover related issues.

Metrics and reporting

Reporting and analytics enable team members to share status, goals and test results. Advanced tools integrate project metrics and present results in a dashboard. Teams quickly see the overall health of a project and can monitor relationships between test, development and other project elements.

Case studies

IBM Engineering Workflow Management acts as the critical link between required and delivered work by enabling teams to manage plans, tasks and project status.

IBM Engineering Test Management is a collaborative, quality management solution that offers end-to-end test planning and test asset management, from requirements to defects.

A comprehensive testing and virtualization platform to help ensure application quality throughout the software lifecycle.

IBM DevOps Test Workbench provides software testing tools to support API testing, functional UI testing, performance testing and service virtualization.

IBM DevOps Test Virtualization enables early and frequent testing in the development lifecycle.

IBM DevOps Automation helps improve productivity, reduce business risk and deliver applications faster using generative AI and automation.

IBM DevOps Deploy is an application-release solution that infuses automation into the continuous delivery and continuous deployment process and provides robust visibility, traceability and auditing capabilities.

Velocity automates processes in your release lifecycle and gathers insights into your DevOps processes.

Continuous testing plays a crucial role in accelerating software development, improving code quality, and avoiding costly bottlenecks.

Software development refers to a set of computer science activities dedicated to the process of creating, designing, deploying and supporting software.

This ebook explores why testing earlier and more often is critical for achieving the IBM DevOps goal of faster software delivery.

Developer-centric, deeper dive resources to help improve your software lifecycle experience.

A platform where you can stay informed through webinars, blogs, and other great content. Discuss software testing and DevOps with your peers from around the world.

Are you ready for DevOps? To deliver software and services at the speed the market demands, teams have to iterate and experiment rapidly, deploy new versions frequently, and be driven by feedback and data. The most successful cloud development teams adopt modern DevOps culture and practices, embrace cloud-native architectures and assemble toolchains from best-in-class tools to unleash their productivity.

1 " What is Software Testing? " (link resides outside ibm.com), Thomas Hamilton, guru99.com, updated 3 January 2024

2 " The glitch economy: Counting the cost of software failures " (link resides outside ibm.com), Dalibor Siroky, 30 October 2017

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Software testing might not be the sexiest part of coding, but that doesn't mean it lacks intrigue or importance. After all, who wants to use a buggy app? It's software testing that ensures smooth operation and prevents annoying glitches from making it into the final product. Without it, our lives would be an endless cycle of frustratedly bashing at buttons and kicking our computers in frustration. Good testers have an eye for detail and can think as critically as a detective looking for clues - although hopefully with less mystery and suspense!

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Software Testing

Oct 22, 2014

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Software Testing. Testing Concepts. Background. Main objectives of a project: High Quality &amp; High Productivity (Q&amp;P) Quality has many dimensions reliability, maintainability, interoperability etc. Reliability is perhaps the most important Reliability: The chances of software failing

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• test case execution
• preparing test case specifications

Presentation Transcript

Software Testing Testing

Testing Concepts Testing

Background • Main objectives of a project: High Quality & High Productivity (Q&P) • Quality has many dimensions • reliability, maintainability, interoperability etc. • Reliability is perhaps the most important • Reliability: The chances of software failing • More defects => more chances of failure => lesser reliability • Hence Q goal: Have as few defects as possible in the delivered software Testing

Faults & Failure • Failure: A software failure occurs if the behavior of the s/w is different from expected/specified. • Fault: cause of software failure • Fault = bug = defect • Failure implies presence of defects • A defect has the potential to cause failure. • Definition of a defect is environment, project specific Testing

Role of Testing • Reviews are human processes - can not catch all defects • Hence there will be requirement defects, design defects and coding defects in code • These defects have to be identified by testing • Therefore testing plays a critical role in ensuring quality. • All defects remaining from before as well as new ones introduced have to be identified by testing. Testing

Detecting defects in Testing • During testing, software under test (SUT) executed with set of test cases • Failure during testing => defects are present • No failure => confidence grows, but can not say “defects are absent” • To detect defects, must cause failures during testing Testing

Test Oracle • To check if a failure has occurred when executed with a test case, we need to know the correct behavior • I.e. need a test oracle, which is often a human • Human oracle makes each test case expensive as someone has to check the correctness of its output Testing

Test case and test suite • Test case – a set of test inputs and execution conditions designed to exercise SUT in a particular manner • Test case should also specify the expected output – oracle uses this to detect failure • Test suite - group of related test cases generally executed together Testing

Test harness • During testing, for each test case in a test suite, conditions have to be set, SUT called with inputs, output checked against expected to declare fail/pass • Many test frameworks (or test harness) exist that automate the testing process • Each test case is often a function/method • A test case sets up the conditions, calls the SUT with the required inputs • Tests the results through assert statements • If any assert fails – declares failure Testing

Levels of Testing • The code contains requirement defects, design defects, and coding defects • Nature of defects is different for different injection stages • One type of testing will be unable to detect the different types of defects • Different levels of testing are used to uncover these defects Testing

Acceptance testing User needs Requirement specification System testing Design Integration testing code Unit testing Testing

Unit Testing • Different modules tested separately • Focus: defects injected during coding • Essentially a code verification technique, covered in previous chapter • UT is closely associated with coding • Frequently the programmer does UT; coding phase sometimes called “coding and unit testing” Testing

Integration Testing • Focuses on interaction of modules in a subsystem • Unit tested modules combined to form subsystems • Test cases to “exercise” the interaction of modules in different ways • May be skipped if the system is not too large Testing

System Testing • Entire software system is tested • Focus: does the software implement the requirements? • Validation exercise for the system with respect to the requirements • Generally the final testing stage before the software is delivered • May be done by independent people • Defects removed by developers • Most time consuming test phase Testing

Acceptance Testing • Focus: Does the software satisfy user needs? • Generally done by end users/customer in customer environment, with real data • Only after successful AT software is deployed • Any defects found,are removed by developers • Acceptance test plan is based on the acceptance test criteria in the SRS Testing

Other forms of testing • Performance testing • tools needed to “measure” performance • Stress testing • load the system to peak, load generation tools needed • Regression testing • test that previous functionality works alright • important when changes are made • Previous test records are needed for comparisons • Prioritization of testcases needed when complete test suite cannot be executed for a change Testing

Testing Process Testing

Testing • Testing only reveals the presence of defects • Does not identify nature and location of defects • Identifying & removing the defect => role of debugging and rework • Preparing test cases, performing testing, defects identification & removal all consume effort • Overall testing becomes very expensive : 30-50% development cost Testing

Testing… • Multiple levels of testing are done in a project • At each level, for each SUT, test cases have to be designed and then executed • Overall, testing is very complex in a project and has to be done well • Testing process at a high level has: test planning, test case design, and test execution Testing

Test Plan • Testing usually starts with test plan and ends with acceptance testing • Test plan is a general document that defines the scope and approach for testing for the whole project • Inputs are SRS, project plan, design • Test plan identifies what levels of testing will be done, what units will be tested, etc in the project Testing

Test Plan… • Test plan usually contains • Test unit specs: what units need to be tested separately • Features to be tested: these may include functionality, performance, usability,… • Approach: criteria to be used, when to stop, how to evaluate, etc • Test deliverables • Schedule and task allocation Testing

Test case Design • Test plan focuses on testing a project; does not focus on details of testing a SUT • Test case design has to be done separately for each SUT • Based on the plan (approach, features,..) test cases are determined for a unit • Expected outcome also needs to be specified for each test case Testing

Test case design… • Together the set of test cases should detect most of the defects • Would like the set of test cases to detect any defects, if it exists • Would also like set of test cases to be small - each test case consumes effort • Determining a reasonable set of test case is the most challenging task of testing Testing

Test case design • The effectiveness and cost of testing depends on the set of test cases • Q: How to determine if a set of test cases is good? I.e. the set will detect most of the defects, and a smaller set cannot catch these defects • No easy way to determine goodness; usually the set of test cases is reviewed by experts • This requires test cases be specified before testing – a key reason for having test case specs • Test case specs are essentially a table Testing

Test case specifications Condition to be tested Expected result Seq.No successful Test Data Testing

Test case specifications… • So for each testing, test case specs are developed, reviewed, and executed • Preparing test case specifications is challenging and time consuming • Test case criteria can be used • Special cases and scenarios may be used • Once specified, the execution and checking of outputs may be automated through scripts • Desired if repeated testing is needed • Regularly done in large projects Testing

Test case execution • Executing test cases may require drivers or stubs to be written; some tests can be auto, others manual • A separate test procedure document may be prepared • Test summary report is often an output – gives a summary of test cases executed, effort, defects found, etc • Monitoring of testing effort is important to ensure that sufficient time is spent • Computer time also is an indicator of how testing is proceeding Testing

Defect logging and tracking • A large software may have thousands of defects, found by many different people • Often person who fixes (usually the coder) is different from who finds • Due to large scope, reporting and fixing of defects cannot be done informally • Defects found are usually logged in a defect tracking system and then tracked to closure • Defect logging and tracking is one of the best practices in industry Testing

Defect logging… • A defect in a software project has a life cycle of its own, like • Found by someone, sometime and logged along with info about it (submitted) • Job of fixing is assigned; person debugs and then fixes (fixed) • The manager or the submitter verifies that the defect is indeed fixed (closed) • More elaborate life cycles possible Testing

Defect logging… Testing

Defect logging… • During the life cycle, info about defect is logged at diff stages to help debug as well as analysis • Defects generally categorized into a few types, and type of defects is recorded • ODC is one classification • Some std categories: Logic, standards, UI, interface, performance, documentation,.. Testing

Defect logging… • Severity of defects in terms of its impact on sw is also recorded • Severity useful for prioritization of fixing • One categorization • Critical: Show stopper • Major: Has a large impact • Minor: An isolated defect • Cosmetic: No impact on functionality Testing

Defect logging… • Ideally, all defects should be closed • Sometimes, organizations release software with known defects (hopefully of lower severity only) • Organizations have standards for when a product may be released • Defect log may be used to track the trend of how defect arrival and fixing is happening Testing

Black Box Testing Testing

Role of Test cases • Ideally would like the following for test cases • No failure implies “no defects” or “high quality” • If defects present, then some test case causes a failure • Role of test cases is clearly very critical • Only if test cases are “good”, the confidence increases after testing Testing

Test case design • During test planning, have to design a set of test cases that will detect defects present • Some criteria needed to guide test case selection • Two approaches to design test cases • functional or black box • structural or white box • Both are complimentary; we discuss a few approaches/criteria for both Testing

Black Box testing • Software tested to be treated as a block box • Specification for the black box is given • The expected behavior of the system is used to design test cases • i.e test cases are determined solely from specification. • Internal structure of code not used for test case design Testing

Black box Testing… • Premise: Expected behavior is specified. • Hence just test for specified expected behavior • How it is implemented is not an issue. • For modules,specification produced in design specify expected behavior • For system testing, SRS specifies expected behavior Testing

Black Box Testing… • Most thorough functional testing - exhaustive testing • Software is designed to work for an input space • Test the software with all elements in the input space • Infeasible - too high a cost • Need better method for selecting test cases • Different approaches have been proposed Testing

Equivalence Class partitioning • Divide the input space into equivalent classes • If the software works for a test case from a class the it is likely to work for all • Can reduce the set of test cases if such equivalent classes can be identified • Getting ideal equivalent classes is impossible • Approximate it by identifying classes for which different behavior is specified Testing

Equivalence class partitioning… • Rationale: specification requires same behavior for elements in a class • Software likely to be constructed such that it either fails for all or for none. • E.g. if a function was not designed for negative numbers then it will fail for all the negative numbers • For robustness, should form equivalent classes for invalid inputs also Testing

Equivalent class partitioning.. • Every condition specified as input is an equivalent class • Define invalid equivalent classes also • E.g. range 0< value<Max specified • one range is the valid class • input < 0 is an invalid class • input > max is an invalid class • Whenever that entire range may not be treated uniformly - split into classes Testing

Equivalent class partitioning.. • Should consider eq. classes in outputs also and then give test cases for different classes • E.g.: Compute rate of interest given loan amount, monthly installment, and number of months • Equivalent classes in output: + rate, rate = 0 ,-ve rate • Have test cases to get these outputs Testing

Equivalence class… • Once eq classes selected for each of the inputs, test cases have to be selected • Select each test case covering as many valid eq classes as possible • Or, have a test case that covers at most one valid class for each input • Plus a separate test case for each invalid class Testing

Example • Consider a program that takes 2 inputs – a string s and an integer n • Program determines n most frequent characters • Tester believes that programmer may deal with diff types of chars separately • A set of valid and invalid equivalence classes is given Testing

Example.. Testing

Example… • Test cases (i.e. s , n) with first method • s : str of len < N with lower case, upper case, numbers, and special chars, and n=5 • Plus test cases for each of the invalid eq classes • Total test cases: 1+3= 4 • With the second approach • A separate str for each type of char (i.e. a str of numbers, one of lower case, …) + invalid cases • Total test cases will be 5 + 2 = 7 Testing

Boundary value analysis • Programs often fail on special values • These values often lie on boundary of equivalence classes • Test cases that have boundary values have high yield • These are also called extreme cases • A BV test case is a set of input data that lies on the edge of a eq class of input/output Testing

BVA... • For each equivalence class • choose values on the edges of the class • choose values just outside the edges • E.g. if 0 <= x <= 1.0 • 0.0 , 1.0 are edges inside • -0.1,1.1 are just outside • E.g. a bounded list - have a null list , a maximum value list • Consider outputs also and have test cases generate outputs on the boundary Testing

BVA… • In BVA we determine the value of vars that should be used • If input is a defined range, then there are 6 boundary values plus 1 normal value (tot: 7) • If multiple inputs, how to combine them into test cases; two strategies possible • Try all possible combination of BV of diff variables, with n vars this will have 7n test cases! • Select BV for one var; have other vars at normal values + 1 of all normal values Testing

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Software Testing. GNT VietNam EC Team Author: Tam Vo &amp; Luan Nguyen 22 June 2012. agenda. Testing Overview - Objective. Testing Overview - Roles. Testing Overview. Methods. Levels. Types. Unit Test Integration Test System Test Deployment Test Acceptance Test. Functional Test

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Software Testing. Test Early, Test Often CS673 Fazle Khan Nov 1, 2011. What Is Software Testing?. Book: A validation process, the purpose of which is to detect as many defects of as high a level of seriousness as possible.

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Software testing. Topics covered. System testing Component testing Test case design Test automation. The testing process. Component testing Testing of individual program components; Usually the responsibility of the component developer (except sometimes for critical systems);

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Software Testing. CS 470. Testing. Goal is to find faults What kind of faults? Algorithmic Computation and Precision Documentation Overload Capacity Timing Performance Recovery System Standards. Algorithmic Fault. Code’s logic does not produce the proper output for a given input

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Software Testing. 软件测试. Advanced Software Engineering and Project Management Program (ASPM). 高级软件工程和项目管理程序 (ASPM). Objectives. At the end of this module, you will be able to: Identify the significance of software testing in the software development life cycle.

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Software Testing. mae. Admin. Need schedule of meeting with graders for user test Rubrics for Arch Eval posted Scheduled for next Tuesday will be posted on Saturday. convention wisdom. 95% of errors are in 5% of the code. …or maybe 80% of the errors are in 20% of the code….

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Software Testing. Input Space Partition Testing. Graphs. Logic. Input Space. Syntax. Applied to. Applied to. Applied to. FSMs. Source. DNF. Specs. Source. Models. Source. Specs. Integ. Input. Design. Use cases. Input Space Coverage. Four Structures for Modeling Software.

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Software Testing. Testing across the entire software development lifecyle. Software test engineer. Software test engineer is a professional who is in charge of one or more technical test activities, including designing test inputs producing test case values running test scripts

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Software Testing. Written by Zvika Gutterman Adam Carmi. Question?. Who has the highest Salary in Israel public service in 2001?. The test pilot of IAI !. Why?. Agenda. Goal Introduction Vocabulary White Box Black Box Static vs. Dynamic Example - TVRS. Goal.

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Software testing. Objectives. To discuss the distinctions between validation testing and defect testing To describe the principles of system and component testing To describe strategies for generating system test cases

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Software Testing. Boundaries and C0,C1 Pressman pp437-476. Instrument Your Code. To achieve C0 or C1 coverage, generate good test cases until coverage has been reached. By hand, insert print statements with “a”, “b”, etc and sort output

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Software Testing. Manual Testing Concepts. Introduction. Software Testing Computer programs are designed and developed by human beings and hence are prone to errors. Unchecked, they can lead to a lot of problems, including social implications.

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Dynamic Symbolic Execution (aka, directed automated random testing, aka concolic execution) Slides by Koushik Sen. Software Testing. Testing accounts for 50% of software development cost Software failure costs USA $60 billion annually

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Software Testing. Levels of Testing. Unit Testing Integration Testing Validation Testing Regression Testing Alpha Testing Beta Testing Acceptance Testing. Unit Testing. Algorithms and logic Data structures (global and local) Interfaces Independent paths Boundary conditions

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