One of the most critical software development and maintenance aspects is regression testing. To avoid unwanted changes, a set of test cases is run whenever software is modified, and the new outputs are compared to the older ones.
Sanity Testing Vs Regression Testing Key Differences (with Examples).pdfSteve Wortham
The two most common software testing techniques used by QA engineers are Sanity and Regression testing. However, there are some differences between them that most of them are unaware of.
Test case prioritization techniques schedule test cases for execution in an order that attempts to increase their effectiveness in meeting some performance goal. Various goals are possible; one involves rate of fault detection | a measure of how quickly faults are detected within the testing process. An improved rate of fault detection during testing can provide faster feedback on the system under test, and let software engineers begin correcting faults earlier than might otherwise be possible.
Programming testing is the method involved with assessing and confirming that a product item or application does what it should do. The advantages of testing incorporate forestalling bugs, lessening improvement costs and further developing execution.
Programming testing is the method involved with assessing and confirming that a product item or application does what it should do. The advantages of testing incorporate forestalling bugs, lessening improvement costs and further developing execution.
Programming testing is the method involved with assessing and confirming that a product item or application does what it should do. The advantages of testing incorporate forestalling bugs, lessening improvement costs and further developing execution.
A Productive Method for Improving Test EffectivenessShradha Singh
This document proposes a new approach for test suite selection and prioritization that aims to improve test effectiveness. The approach has three components: 1) A predictive component that prioritizes test cases based on their historical failure rates, with tests that failed more often run more frequently. 2) A coverage component that selects test cases based on code coverage data to target parts of the code affected by changes. 3) A decision component that prioritizes important test cases using an algorithm. The approach is intended to select a subset of test cases from large test suites to reduce validation time and improve resource utilization while still effectively testing software. Experiments showed the approach decreased validation cycles and reduced time to market.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
This document discusses test case prioritization, which aims to execute test cases in an order that increases their effectiveness at detecting faults. It describes regression testing and different prioritization techniques, including genetic algorithms. Genetic algorithms represent test cases as chromosomes and use selection, crossover and mutation to evolve solutions. The document concludes that prioritization techniques can improve fault detection rates but their effectiveness varies across programs and test suites, so practitioners must choose techniques carefully for different testing scenarios.
Regression Testing Techniques and Best Practices.pdfRohitBhandari66
In this era of Agile and DevOps forms of software development, software vendors roll out updates more frequently than ever to deliver seamless customer experience. To ensure that these updates haven’t impacted the existing functionality of an application, regression testing comes in. In this blog, you’ll learn about it, best practices and techniques related to this.
TEST CASE PRIORITIZATION FOR OPTIMIZING A REGRESSION TESTijfcstjournal
Regression testing makes sure that upgradation of software in terms of adding new features or for bug
fixing purposes should not hamper previously working functionalities. Whenever a software is upgraded or
modified, a set of test cases are run on each of its functions to assure that the change to that function is not
affecting other parts of the software that were previously running flawlessly. For achieving this, all existing
test cases need to run as well as new test cases might be required to be created. It is not feasible to reexecute
every test case for all the functions of a given software, because if there is a large number of test
cases to be run, then a lot of time and effort would be required. This problem can be addressed by
prioritizing test cases. Test case prioritization technique reorders the priority in which test cases are
implemented, in an attempt to ensure that maximum faults are uncovered early on by the high priority test
cases implemented first. In this paper we propose an optimized test case prioritization technique using Ant
Colony Optimization (ACO) to reduce the cost, effort and time taken to perform regression testing and also
uncover maximum faults. Comparison of different techniques such as Retest All, Test Case Minimization,
Test Case Prioritization, Random Test Case Selection and Test Case Prioritization using ACO is also
depicted.
TEST CASE PRIORITIZATION FOR OPTIMIZING A REGRESSION TESTijfcstjournal
Regression testing makes sure that upgradation of software in terms of adding new features or for bug
fixing purposes should not hamper previously working functionalities. Whenever a software is upgraded or
modified, a set of test cases are run on each of its functions to assure that the change to that function is not
affecting other parts of the software that were previously running flawlessly. For achieving this, all existing
test cases need to run as well as new test cases might be required to be created. It is not feasible to reexecute every test case for all the functions of a given software, because if there is a large number of test
cases to be run, then a lot of time and effort would be required. This problem can be addressed by
prioritizing test cases. Test case prioritization technique reorders the priority in which test cases are
implemented, in an attempt to ensure that maximum faults are uncovered early on by the high priority test
cases implemented first. In this paper we propose an optimized test case prioritization technique using Ant
Colony Optimization (ACO) to reduce the cost, effort and time taken to perform regression testing and also
uncover maximum faults. Comparison of different techniques such as Retest All, Test Case Minimization,
Test Case Prioritization, Random Test Case Selection and Test Case Prioritization using ACO is also
depicted.
TEST CASE PRIORITIZATION FOR OPTIMIZING A REGRESSION TESTijfcstjournal
Regression testing makes sure that upgradation of software in terms of adding new features or for bug
fixing purposes should not hamper previously working functionalities. Whenever a software is upgraded or
modified, a set of test cases are run on each of its functions to assure that the change to that function is not
affecting other parts of the software that were previously running flawlessly. For achieving this, all existing
test cases need to run as well as new test cases might be required to be created. It is not feasible to reexecute
every test case for all the functions of a given software, because if there is a large number of test
cases to be run, then a lot of time and effort would be required. This problem can be addressed by
prioritizing test cases. Test case prioritization technique reorders the priority in which test cases are
implemented, in an attempt to ensure that maximum faults are uncovered early on by the high priority test
cases implemented first. In this paper we propose an optimized test case prioritization technique using Ant
Colony Optimization (ACO) to reduce the cost, effort and time taken to perform regression testing and also
uncover maximum faults. Comparison of different techniques such as Retest All, Test Case Minimization,
Test Case Prioritization, Random Test Case Selection and Test Case Prioritization using ACO is also
depicted.
TEST CASE PRIORITIZATION FOR OPTIMIZING A REGRESSION TESTijfcstjournal
Regression testing makes sure that upgradation of software in terms of adding new features or for bug fixing purposes should not hamper previously working functionalities. Whenever a software is upgraded or modified, a set of test cases are run on each of its functions to assure that the change to that function is not affecting other parts of the software that were previously running flawlessly. For achieving this, all existing test cases need to run as well as new test cases might be required to be created. It is not feasible to re- execute every test case for all the functions of a given software, because if there is a large number of test cases to be run, then a lot of time and effort would be required. This problem can be addressed by prioritizing test cases. Test case prioritization technique reorders the priority in which test cases are implemented, in an attempt to ensure that maximum faults are uncovered early on by the high priority test cases implemented first. In this paper we propose an optimized test case prioritization technique using Ant Colony Optimization (ACO) to reduce the cost, effort and time taken to perform regression testing and also uncover maximum faults. Comparison of different techniques such as Retest All, Test Case Minimization, Test Case Prioritization, Random Test Case Selection and Test Case Prioritization using ACO is also depicted.
A NOVEL APPROACH FOR TEST CASEPRIORITIZATIONIJCSEA Journal
This paper proposes a novel approach to test case prioritization that calculates the product of a test case's statement coverage and number of function calls to determine priority. The test cases are ordered based on this product metric, with the highest product value first. An algorithm is presented and evaluations show the approach improves fault detection rates over non-prioritized test cases, as measured by the APFD metric. The approach addresses potential ambiguities when multiple test cases have the same product value by further prioritizing based on number of function calls or execution order. The results demonstrate the effectiveness of the proposed prioritization formula and algorithm.
Regression Testing: Definition, Importance, Types, and Best Practices.pdfSteve Wortham
Software development is an ever-evolving, dynamic process. Although unit tests are crucial for confirming that individual code components are valid, they frequently fail to protect the overall behavior of the program. Regression testing becomes an essential safety measure in this situation.
Software testing is an activity which is aimed for evaluating quality of a program and also for improving it, by identifying defects and problems. Software testing strives for achieving its goal (both implicit and explicit) but it has certain limitations, still testing can be done more effectively if certain established principles are to be followed. In spite of having limitations, software testing continues to dominate other verification techniques like static analysis, model checking and proofs. So it is indispensable to understand the goals, principles and limitations of software testing so that the effectiveness of software testing could be maximized.
Continuous Testing Improve Efficiency and Ship Better Software.pdfSteve Wortham
Integrating continuous testing into your CI/CD pipeline accelerates testing, delivers highly accurate results, and helps you release high-quality software faster.
Software testing is an important phase of the software development process that evaluates the functionality and quality of a software application. It involves executing a program or system with the intent of finding errors. Some key points:
- Software testing is needed to identify defects, ensure customer satisfaction, and deliver high quality products with lower maintenance costs.
- It is important for different stakeholders like developers, testers, managers, and end users to work together throughout the testing process.
- There are various types of testing like unit testing, integration testing, system testing, and different methodologies like manual and automated testing. Proper documentation is also important.
- Testing helps improve the overall quality of software but can never prove that there
How to Make the Most of Regression and Unit TestingAbhay Kumar
Understanding the differences between regression testing and unit testing is paramount for maintaining the robustness of any software. Although both serve the purpose of vulnerability scanning to detect threats, they vary in terms of their test objectives, stages in the development process, and the scope of the code they cover. Let's delve into these distinctions to grasp their roles better.
Difference in Test Objectives:
- While similar, Unit and regression testing have distinct targets within your code. Unit testing, conducted by programmers, assesses individual components, validating the correct functionality of each variable, function, and object.
- On the other hand, regression testing (often termed QA testing) occurs after programmers complete work on specific features. It acts as a system-wide check, ensuring untouched components function as expected. While unit tests provide the precision of individual functions and variables, regression tests collaborate to ascertain that the entire system functions optimally.
Difference in the Development Phase:
- The timing of unit and regression tests sets them apart. Unit tests are conducted during the development phase, where developers run them after implementing changes to confirm no adverse impacts.
- Conversely, regression testing is performed before the feature's production release. It comprises unit tests, integration tests, and various other testing types. Testers are responsible for executing regression testing. Automated regression testing, a key step in continuous integration/continuous delivery, quickly detects if recent code changes have disrupted the existing code.
Difference in Code Coverage:
- A unit test concentrates on a single unit, method, or function, examining one element at a time. It doesn't account for how these units interact, necessitating integration tests. This approach provides swift feedback due to its focused testing nature.
- In contrast, regression tests validate if alterations to existing functionalities have affected other parts of the system by testing against predefined scenarios, ensuring correct integration of units. Given the comprehensive testing involved, it generally consumes more time.
Unit and regression testing are vital pillars in the software development journey. Regular execution of these tests is key to minimizing bugs and refining code quality.
Regression testing conducted post-unit testing before a software release, ensures system integrity despite changes. On the other hand, unit testing meticulously validates new functions, ensuring precise code execution.
FROM THE ART OF SOFTWARE TESTING TO TEST-AS-A-SERVICE IN CLOUD COMPUTINGijseajournal
Researchers consider that the first edition of the book "The Art of Software Testing" by Myers (1979)
initiated research in Software Testing. Since then, software testing has gone through evolutions that have
driven standards and tools. This evolution has accompanied the complexity and variety of software
deployment platforms. The migration to the cloud allowed benefits such as scalability, agility, and better
return on investment. Cloud computing requires more significant involvement in software testing to ensure
that services work as expected. In addition to testing cloud applications, cloud computing has paved the
way for testing in the Test-as-a-Service model. This review aims to understand software testing in the
context of cloud computing. Based on the knowledge explained here, we sought to linearize the evolution of
software testing, characterizing fundamental points and allowing us to compose a synthesis of the body of
knowledge in software testing, expanded by the cloud computing paradigm.
From the Art of Software Testing to Test-as-a-Service in Cloud Computingijseajournal
Researchers consider that the first edition of the book "The Art of Software Testing" by Myers (1979)
initiated research in Software Testing. Since then, software testing has gone through evolutions that have
driven standards and tools. This evolution has accompanied the complexity and variety of software
deployment platforms. The migration to the cloud allowed benefits such as scalability, agility, and better
return on investment. Cloud computing requires more significant involvement in software testing to ensure
that services work as expected. In addition to testing cloud applications, cloud computing has paved the
way for testing in the Test-as-a-Service model. This review aims to understand software testing in the
context of cloud computing. Based on the knowledge explained here, we sought to linearize the evolution of
software testing, characterizing fundamental points and allowing us to compose a synthesis of the body of
knowledge in software testing, expanded by the cloud computing paradigm.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Prioritizing Test Cases for Regression Testing A Model Based ApproachIJTET Journal
The document summarizes a model-based approach to prioritizing regression test cases. It involves generating test cases from UML models, prioritizing them based on the number of states and transitions covered, and clustering them by severity using a dendrogram approach. This helps decrease the time and cost of regression testing by focusing testing efforts on the most important and affected areas first. The proposed approach constructs models from requirements, identifies states, prioritizes flows, generates test cases, and prioritizes the test cases based on severity to improve regression testing efficiency.
Every business demands to ace the industry competition with top-in-class software development across their organizations. While the demand for software has expanded like never before in the recent past, it has become crucial to deliver beneficial, affordable, and competitive software while meeting the current industry and consumer demands.
Top 10 Practices for Software Testing in 2023.pptxOprim Solutions
we’ll look at the essential techniques for effective software testing. Understanding the best practices in software testing can assist QA specialists and executives in making better decisions. This also makes the testing procedure more efficient. As well as the creation of high-quality software products that match consumer expectations.
The document discusses object-oriented testing strategies and techniques. It covers unit testing of individual classes, integration testing of groups of classes, validation testing against requirements, and system testing. Interclass testing focuses on testing collaborations between classes during integration. Test cases should uniquely identify the class under test, state the test purpose and steps, and list expected states, messages, exceptions, and external dependencies.
How Agile Teams Can Master Regression Testing for Bug-Free ReleasesShubham Joshi
Agile teams thrive on speed, but frequent changes increase the risk of defects. Regression testing ensures that existing functionalities remain intact after updates. Automating repetitive test cases allows for faster execution, reducing manual effort. Teams should focus on high-impact areas, continuously update test suites, and integrate testing into daily workflows. By leveraging efficient regression testing techniques, teams can maintain software quality without slowing down development. Regular testing, combined with proper test case management, helps Agile teams deliver stable, bug-free releases.
Selenium Testing The Complete Step-by-Step Tutorial.pdfSteve Wortham
Automation testing has become a non-negotiable part of modern software delivery. If you operate in this space, you may already feel pressure to roll out products and new features faster, maintain high quality, and meet user expectations.
The SAP Testing A Comprehensive Guide.pdfSteve Wortham
SAP is a widely used enterprise software package that helps organizations manage their business operations effectively. With its comprehensive suite of modules, It provides a robust platform for managing various business functions such as finance, human resources, supply chain management.
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TEST CASE PRIORITIZATION FOR OPTIMIZING A REGRESSION TESTijfcstjournal
Regression testing makes sure that upgradation of software in terms of adding new features or for bug
fixing purposes should not hamper previously working functionalities. Whenever a software is upgraded or
modified, a set of test cases are run on each of its functions to assure that the change to that function is not
affecting other parts of the software that were previously running flawlessly. For achieving this, all existing
test cases need to run as well as new test cases might be required to be created. It is not feasible to reexecute
every test case for all the functions of a given software, because if there is a large number of test
cases to be run, then a lot of time and effort would be required. This problem can be addressed by
prioritizing test cases. Test case prioritization technique reorders the priority in which test cases are
implemented, in an attempt to ensure that maximum faults are uncovered early on by the high priority test
cases implemented first. In this paper we propose an optimized test case prioritization technique using Ant
Colony Optimization (ACO) to reduce the cost, effort and time taken to perform regression testing and also
uncover maximum faults. Comparison of different techniques such as Retest All, Test Case Minimization,
Test Case Prioritization, Random Test Case Selection and Test Case Prioritization using ACO is also
depicted.
TEST CASE PRIORITIZATION FOR OPTIMIZING A REGRESSION TESTijfcstjournal
Regression testing makes sure that upgradation of software in terms of adding new features or for bug
fixing purposes should not hamper previously working functionalities. Whenever a software is upgraded or
modified, a set of test cases are run on each of its functions to assure that the change to that function is not
affecting other parts of the software that were previously running flawlessly. For achieving this, all existing
test cases need to run as well as new test cases might be required to be created. It is not feasible to reexecute every test case for all the functions of a given software, because if there is a large number of test
cases to be run, then a lot of time and effort would be required. This problem can be addressed by
prioritizing test cases. Test case prioritization technique reorders the priority in which test cases are
implemented, in an attempt to ensure that maximum faults are uncovered early on by the high priority test
cases implemented first. In this paper we propose an optimized test case prioritization technique using Ant
Colony Optimization (ACO) to reduce the cost, effort and time taken to perform regression testing and also
uncover maximum faults. Comparison of different techniques such as Retest All, Test Case Minimization,
Test Case Prioritization, Random Test Case Selection and Test Case Prioritization using ACO is also
depicted.
TEST CASE PRIORITIZATION FOR OPTIMIZING A REGRESSION TESTijfcstjournal
Regression testing makes sure that upgradation of software in terms of adding new features or for bug
fixing purposes should not hamper previously working functionalities. Whenever a software is upgraded or
modified, a set of test cases are run on each of its functions to assure that the change to that function is not
affecting other parts of the software that were previously running flawlessly. For achieving this, all existing
test cases need to run as well as new test cases might be required to be created. It is not feasible to reexecute
every test case for all the functions of a given software, because if there is a large number of test
cases to be run, then a lot of time and effort would be required. This problem can be addressed by
prioritizing test cases. Test case prioritization technique reorders the priority in which test cases are
implemented, in an attempt to ensure that maximum faults are uncovered early on by the high priority test
cases implemented first. In this paper we propose an optimized test case prioritization technique using Ant
Colony Optimization (ACO) to reduce the cost, effort and time taken to perform regression testing and also
uncover maximum faults. Comparison of different techniques such as Retest All, Test Case Minimization,
Test Case Prioritization, Random Test Case Selection and Test Case Prioritization using ACO is also
depicted.
TEST CASE PRIORITIZATION FOR OPTIMIZING A REGRESSION TESTijfcstjournal
Regression testing makes sure that upgradation of software in terms of adding new features or for bug fixing purposes should not hamper previously working functionalities. Whenever a software is upgraded or modified, a set of test cases are run on each of its functions to assure that the change to that function is not affecting other parts of the software that were previously running flawlessly. For achieving this, all existing test cases need to run as well as new test cases might be required to be created. It is not feasible to re- execute every test case for all the functions of a given software, because if there is a large number of test cases to be run, then a lot of time and effort would be required. This problem can be addressed by prioritizing test cases. Test case prioritization technique reorders the priority in which test cases are implemented, in an attempt to ensure that maximum faults are uncovered early on by the high priority test cases implemented first. In this paper we propose an optimized test case prioritization technique using Ant Colony Optimization (ACO) to reduce the cost, effort and time taken to perform regression testing and also uncover maximum faults. Comparison of different techniques such as Retest All, Test Case Minimization, Test Case Prioritization, Random Test Case Selection and Test Case Prioritization using ACO is also depicted.
A NOVEL APPROACH FOR TEST CASEPRIORITIZATIONIJCSEA Journal
This paper proposes a novel approach to test case prioritization that calculates the product of a test case's statement coverage and number of function calls to determine priority. The test cases are ordered based on this product metric, with the highest product value first. An algorithm is presented and evaluations show the approach improves fault detection rates over non-prioritized test cases, as measured by the APFD metric. The approach addresses potential ambiguities when multiple test cases have the same product value by further prioritizing based on number of function calls or execution order. The results demonstrate the effectiveness of the proposed prioritization formula and algorithm.
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Software development is an ever-evolving, dynamic process. Although unit tests are crucial for confirming that individual code components are valid, they frequently fail to protect the overall behavior of the program. Regression testing becomes an essential safety measure in this situation.
Software testing is an activity which is aimed for evaluating quality of a program and also for improving it, by identifying defects and problems. Software testing strives for achieving its goal (both implicit and explicit) but it has certain limitations, still testing can be done more effectively if certain established principles are to be followed. In spite of having limitations, software testing continues to dominate other verification techniques like static analysis, model checking and proofs. So it is indispensable to understand the goals, principles and limitations of software testing so that the effectiveness of software testing could be maximized.
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Integrating continuous testing into your CI/CD pipeline accelerates testing, delivers highly accurate results, and helps you release high-quality software faster.
Software testing is an important phase of the software development process that evaluates the functionality and quality of a software application. It involves executing a program or system with the intent of finding errors. Some key points:
- Software testing is needed to identify defects, ensure customer satisfaction, and deliver high quality products with lower maintenance costs.
- It is important for different stakeholders like developers, testers, managers, and end users to work together throughout the testing process.
- There are various types of testing like unit testing, integration testing, system testing, and different methodologies like manual and automated testing. Proper documentation is also important.
- Testing helps improve the overall quality of software but can never prove that there
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Understanding the differences between regression testing and unit testing is paramount for maintaining the robustness of any software. Although both serve the purpose of vulnerability scanning to detect threats, they vary in terms of their test objectives, stages in the development process, and the scope of the code they cover. Let's delve into these distinctions to grasp their roles better.
Difference in Test Objectives:
- While similar, Unit and regression testing have distinct targets within your code. Unit testing, conducted by programmers, assesses individual components, validating the correct functionality of each variable, function, and object.
- On the other hand, regression testing (often termed QA testing) occurs after programmers complete work on specific features. It acts as a system-wide check, ensuring untouched components function as expected. While unit tests provide the precision of individual functions and variables, regression tests collaborate to ascertain that the entire system functions optimally.
Difference in the Development Phase:
- The timing of unit and regression tests sets them apart. Unit tests are conducted during the development phase, where developers run them after implementing changes to confirm no adverse impacts.
- Conversely, regression testing is performed before the feature's production release. It comprises unit tests, integration tests, and various other testing types. Testers are responsible for executing regression testing. Automated regression testing, a key step in continuous integration/continuous delivery, quickly detects if recent code changes have disrupted the existing code.
Difference in Code Coverage:
- A unit test concentrates on a single unit, method, or function, examining one element at a time. It doesn't account for how these units interact, necessitating integration tests. This approach provides swift feedback due to its focused testing nature.
- In contrast, regression tests validate if alterations to existing functionalities have affected other parts of the system by testing against predefined scenarios, ensuring correct integration of units. Given the comprehensive testing involved, it generally consumes more time.
Unit and regression testing are vital pillars in the software development journey. Regular execution of these tests is key to minimizing bugs and refining code quality.
Regression testing conducted post-unit testing before a software release, ensures system integrity despite changes. On the other hand, unit testing meticulously validates new functions, ensuring precise code execution.
FROM THE ART OF SOFTWARE TESTING TO TEST-AS-A-SERVICE IN CLOUD COMPUTINGijseajournal
Researchers consider that the first edition of the book "The Art of Software Testing" by Myers (1979)
initiated research in Software Testing. Since then, software testing has gone through evolutions that have
driven standards and tools. This evolution has accompanied the complexity and variety of software
deployment platforms. The migration to the cloud allowed benefits such as scalability, agility, and better
return on investment. Cloud computing requires more significant involvement in software testing to ensure
that services work as expected. In addition to testing cloud applications, cloud computing has paved the
way for testing in the Test-as-a-Service model. This review aims to understand software testing in the
context of cloud computing. Based on the knowledge explained here, we sought to linearize the evolution of
software testing, characterizing fundamental points and allowing us to compose a synthesis of the body of
knowledge in software testing, expanded by the cloud computing paradigm.
From the Art of Software Testing to Test-as-a-Service in Cloud Computingijseajournal
Researchers consider that the first edition of the book "The Art of Software Testing" by Myers (1979)
initiated research in Software Testing. Since then, software testing has gone through evolutions that have
driven standards and tools. This evolution has accompanied the complexity and variety of software
deployment platforms. The migration to the cloud allowed benefits such as scalability, agility, and better
return on investment. Cloud computing requires more significant involvement in software testing to ensure
that services work as expected. In addition to testing cloud applications, cloud computing has paved the
way for testing in the Test-as-a-Service model. This review aims to understand software testing in the
context of cloud computing. Based on the knowledge explained here, we sought to linearize the evolution of
software testing, characterizing fundamental points and allowing us to compose a synthesis of the body of
knowledge in software testing, expanded by the cloud computing paradigm.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Prioritizing Test Cases for Regression Testing A Model Based ApproachIJTET Journal
The document summarizes a model-based approach to prioritizing regression test cases. It involves generating test cases from UML models, prioritizing them based on the number of states and transitions covered, and clustering them by severity using a dendrogram approach. This helps decrease the time and cost of regression testing by focusing testing efforts on the most important and affected areas first. The proposed approach constructs models from requirements, identifies states, prioritizes flows, generates test cases, and prioritizes the test cases based on severity to improve regression testing efficiency.
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Top 10 Practices for Software Testing in 2023.pptxOprim Solutions
we’ll look at the essential techniques for effective software testing. Understanding the best practices in software testing can assist QA specialists and executives in making better decisions. This also makes the testing procedure more efficient. As well as the creation of high-quality software products that match consumer expectations.
The document discusses object-oriented testing strategies and techniques. It covers unit testing of individual classes, integration testing of groups of classes, validation testing against requirements, and system testing. Interclass testing focuses on testing collaborations between classes during integration. Test cases should uniquely identify the class under test, state the test purpose and steps, and list expected states, messages, exceptions, and external dependencies.
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Agile teams thrive on speed, but frequent changes increase the risk of defects. Regression testing ensures that existing functionalities remain intact after updates. Automating repetitive test cases allows for faster execution, reducing manual effort. Teams should focus on high-impact areas, continuously update test suites, and integrate testing into daily workflows. By leveraging efficient regression testing techniques, teams can maintain software quality without slowing down development. Regular testing, combined with proper test case management, helps Agile teams deliver stable, bug-free releases.
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Scriptless Test Automation_ A Complete Guide.pdfSteve Wortham
Scriptless test automation is transforming software testing. You no longer need to rely on writing complex lines of code to validate your product. In the past, test automation required writing detailed scripts, making it both time-consuming and resource-intensive.
Top iOS Testing Tools and Frameworks.pdfSteve Wortham
Automated testing has become an integral part of the iOS app development landscape. Deploying automated scripts and test cases that can be executed repeatedly allows errors to be spotted much faster and with higher accuracy rates than manual testing alone.
The Test Cases for E-commerce Website.pdfSteve Wortham
This blog provides a detailed guide to crafting test cases for online shopping websites, focusing on product listing pages, product detail pages, and various other critical functionalities.
Playwright and its Installation Guide.pdfSteve Wortham
Playwright is developed by Microsoft and it comes with High -level API for automating web browser interactions including browsers such as Firebox, Chromium and Webkit. Playwright is a powerful framework for web automation, it comes with a unified API across multiple browser engines.
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It all depends on the quality and responsiveness of your website. As per Forbes, 38% of people engage with a website only if it has attractive content and layout. Hence, organizations focus a lot on continuous application performance, especially when it comes to competitive platforms such as iOS.
Understanding DevOps, its benefits, and best practices.pdfSteve Wortham
This huge demand for apps is proven by Statista, which states that the total revenue of the global app market is poised to show an annual growth rate of CAGR of 7.84%. This will lead to a projected market volume of US$781.70 billion by 2029.
Boost Your Telecom Testing Strategy_ Steps to Achieve Seamless Connectivity.pdfSteve Wortham
Therefore, it’s more vital than ever to have telecom networks that individuals and economies can count on one that ensures a positive user experience and overall service reliability. That’s exactly what telecom testing seeks to achieve.
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Java Architecture
Java follows a unique architecture that enables the "Write Once, Run Anywhere" capability. It is a robust, secure, and platform-independent programming language. Below are the major components of Java Architecture:
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These files contain human-readable source code.
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Performs just-in-time (JIT) compilation.
Manages memory and threads.
Handles garbage collection.
JVM is platform-dependent, but Java bytecode is platform-independent.
Java Classes and Objects
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It defines properties (fields) and behaviors (methods).
Think of a class as a template.
What is an Object?
An object is a real-world entity created from a class.
It has state and behavior.
Real-life analogy: Class = Blueprint, Object = Actual House
Class Methods and Instances
Class Method (Static Method)
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Accessed without creating an object.
Instance Method
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Can access instance variables.
Inheritance in Java
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Types of Inheritance in Java:
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2. Multilevel Inheritance
A subclass inherits from another subclass.
3. Hierarchical Inheritance
Multiple classes inherit from one superclass.
Java does not support multiple inheritance using classes to avoid ambiguity.
Polymorphism in Java
What is Polymorphism?
One method behaves differently based on the context.
Types:
Compile-time Polymorphism (Method Overloading)
Runtime Polymorphism (Method Overriding)
Method Overloading
Same method name, different parameters.
Method Overriding
Subclass redefines the method of the superclass.
Enables dynamic method dispatch.
Interface in Java
What is an Interface?
A collection of abstract methods.
Defines what a class must do, not how.
Helps achieve multiple inheritance.
Features:
All methods are abstract (until Java 8+).
A class can implement multiple interfaces.
Interface defines a contract between unrelated classes.
Abstract Class in Java
What is an Abstract Class?
A class that cannot be instantiated.
Used to provide base functionality and enforce
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Test Cases Prioritization For Regression Testing [Methods & Best Practices].pdf
2. Test Cases Prioritization For Regression
Testing [Methods & Best Practices]
One of the most critical software development and maintenance
aspects is regression testing. To avoid unwanted changes, a set of
test cases is run whenever software is modified, and the new outputs
are compared to the older ones.
If the new and old outputs match, it means that the changes made in
one part of the software do not affect the remaining software.
If changes occur, it is impractical to re-run every test case for a
program. However, selecting regression test cases can be solved by
prioritizing the test cases.
For example, regression test prioritization techniques reorder the
execution of a test suite to detect flaws earlier in the testing process.
3. Efficient regression testing is required to keep an application running
perfectly after every small or significant change. And effective
regression testing necessitates the careful selection of regression test
cases for execution each time.
Therefore, prioritizing test cases is crucial so that we execute test
cases with the highest priority and are completed first.
The test cases for regression testing are prioritized based on the
business requirements, previous test cycle experience on the
functionality of existing features, and delivery timelines.
In this article, we will learn about Test Case Prioritization In
Regression Testing, so read the article carefully and meet you at the
conclusion.
Test Cases Prioritization For Regression Testing:
Need, Best Practices & Factors to Consider
Why Do We Need To Prioritize Test Cases For
Regression Testing?
● Prioritizing test cases assists the DevOps team in lowering the
cost of the software test execution phase and the time required
for test execution to deliver an exceptional quality product.
● It enables testers to consider and analyze which tests to run to
manage the risks associated with software delivery.
● Prioritization enables the team to address the most critical
defects early in test development.
● By prioritizing test cases for regression testing, the DevTestOps
team can detect and correct errors as early as possible, saving
time.
4. ● For larger projects, regression testing consumes a significant
amount of time.
● The test execution may take more than one sprint to complete in
some cases.
● This lengthens test execution time, increases individual effort,
and raises project costs.
● Furthermore, repeatedly running the same set of test cases
leads to a loss of concentration.
● The testers may fail to test the most critical application
functionality, resulting in bugs being released into production.
● This eventually raises the project’s cost.
How Should One Choose Test Cases For Regression
According To Priority?
Regression testing is the last yet essential phase before software or
updates are released in the market. Delays can result in negative
marketing, missed deadlines, and regenerate customers. Test case
prioritization in regression testing based on time and importance, on
the other hand, will ensure that a test cycle is completed on time.
#01 Complex Test Cases
Many system functions rely on complex pathways involving GUI
sequences. As a result, sequencing issues can arise as the system
becomes more complex. As a result, complex test cases must also be
covered in regression tests.
Most experts recommend using a risk-based testing approach, in
which test cases are ranked based on certain factors and then
prioritized. These prioritized tests save time, effort, and money.
Test Cases Are Divided Into Two Categories For Ease Of Use:
5. ● High priority: This category includes mission-critical functions,
error-prone modules, and recently changed modules; these test
cases add a lot of value to the project.
● Medium Priority: Negative test case scenarios and complex test
cases are examples of medium-priority test cases. These test
cases can also have a significant impact on business value.
● Low Priority: There are UI and other stable test cases that are
low priority. These are the last items on the priority list and
should only be included if necessary.
High and medium-priority test cases should be run during each
regression testing sprint, while low-priority test cases should be run
only once before the final release.
#02 Test Cases That Frequently Produce Bugs
During the production cycle, test cases that fail frequently can be
identified. These test cases cover areas of the software that are
frequently fragile and frequently fail after a change. These cases must
be prioritized and incorporated into the regression test suite.
#03 Cover Field Validation Test Cases
A selection of negative test cases covering field validations. If we fail
to enter the details of a mandatory field in a form, the application
displays an error message preventing the user from proceeding to the
next section.
#04 Test Cases That Cover Mission-Critical Functions
6. The core aspects of the software can be identified based on the
business requirements document. For example, make sure that the
regression test includes all of the test cases that cover these core
functions. A traceability matrix can also be used to gather all
high-priority cases.
#05 Test Cases That Cover Frequently Changed Code Sections
Many parts of the software are updated regularly. However, these
components are more prone to flaws. As a result, you should
incorporate them into your regression suite. Include test cases for
recently changed functionalities as well.
#06 Cases of Integration Testing
In practice, integration tests are housed in their own module. However,
it is critical to include them in the regression suite as well to ensure
that no last-minute changes disrupt the flow between modules.
#07 Cover End-To-End Test Flows
Here we can cover all of the end-to-end integration test cases in which
the happy flows of a module are tested from start to finish.
How Test Cases Can Be Prioritized Based On A
Certain Technique
Test Case Prioritization In Regression Testing Based On Ant Colony
Optimization
Test case prioritization in regression testing is an effective method for
increasing the efficiency of regression testing activities. It orders a
7. regression test suite to execute higher priority test cases before lower
priority ones. The problem is determining how to optimize the test
case ordering based on some criterion.
An algorithm that prioritizes test cases using ant colony optimization
(ACO), taking three factors into account:
● Several flaws were discovered.
● Time for execution
● The severity of the fault
These three variables are used in the ant colony optimization
algorithm to help identify more severe flaws earlier in the regression
testing process.
An Ontology-Based Test Case Prioritization Approach In
Regression Testing
Ontology-based approaches can bring together a variety of software
artifacts. They can also describe software design and testing while
adhering to the complete set of semantic rules.
For example, researchers proposed ‘ ontology-based knowledge map
methodology’ to reduce the failure rate of ‘business process
re-engineering. Ontologies are formal representations of various
entities, their behavior, interfaces, and associations.
They are widely used to meet the needs of automation and
decision-making. Prior research has focused on TCP aspects such as
codes, requirements, risks, etc. However, there has been little
research into identifying software system defects using test case
prioritization based on ontologies.
8. The proposed method uses web services analysis and ontology to
assess objective risk management. Furthermore, ontology-based
literature has successfully classified items in various research
domains.
Ontology is a rigorous and formal approach to knowledge
representation that provides terms with precise and unambiguous
semantics.
Ontologies in software testing provide a shared knowledge
understanding of concerned entities and their relationships, allowing
the easy organization, maintenance, and updates.
Factors to be Considered for Test Case Prioritization
for Regression Testing
Many factors can influence test case selection and prioritization. In our
proposed algorithm, three factors are considered for prioritizing the
test cases, and these factors are discussed below :
#01 A Test Case Discovered Several Flaws
A test case covers one or more flaws in its execution. For example, a
test case’s fault coverage capacity indicates the number of faults it
can detect.
For example, in the test case order, the test case covering the most
faults should be scheduled first.
#02 The Execution Time Of A Test Case
9. The time cost of a test case is essential in efficient regression testing.
Time constraints on regression testing typically prevent the execution
of the entire test suite. As a result, test case execution time is
considered when prioritizing test cases.
#03 The Severity Of The Fault
Different faults have different effects on the same software, and the
severity of the fault determines its acceptance. Therefore, the test
case revealing more severe faults should be executed earlier to find
more severe faults during the early testing phase.
Another factor is the fault detection rate, which measures how quickly
a test case detects faults. It is calculated using the number of faults
detected and the time it takes to find them for each test case.
Conclusion
Test case prioritization enables testers to categorize test cases
according to their highest and lowest priority to execute tests
efficiently.
This leads to the consistent delivery of high-quality software. Users
also love regular updates and proper time software delivery, which
leads to a better impression in the market.
In this article, we dive deep into understanding every aspect of
prioritizing regression testing; we understand Why, What, and How to
prioritize regression testing. I know after this article, you will get tons
of positive results, save more time, and conduct quality regression
testing.