Regression Testing

Jan 23, 2016Download as PPTX, PDF2 likes1,625 views

Habibur Rony

Regression Testing, Unit Test

Regression testing is testing performed after changes to a system to detect whether new errors were introduced or old bugs have reappeared. It should be done after changes to requirements, new features added, defect fixes, or performance improvements. There are various strategies for regression testing including re-running all tests, test selection, test prioritization, and focusing on areas like frequently failing tests or recently changed code. While regression testing helps ensure system quality, managing large test suites over time poses challenges in minimizing tests while achieving coverage. Automating regression testing can help address these challenges.

Understand regression testinggaoliang641

Regression testing is important to ensure new software changes do not break existing functionality. Automating regression testing helps manage the large number of test cases needed and speeds up release cycles. Key aspects of managing regression include establishing a baseline, comparing new results to the baseline, debugging failures efficiently, and automating testing processes to reduce human effort and testing time.

Test suite minimizationGaurav Saxena

This is a presentation to explain the concepts described in the paper "A Concept Analysis Inspired Greedy Algorithm for Test Suite Minimization" by Sriraman Tallam and Neelam Gupta. Abstract: Software testing and retesting occurs continuously during the software development lifecycle to detect errors as early as possible and to ensure that changes to existing software do not break the software. Test suites once developed are reused and updated frequently as the software evolves. As a result, some test cases in the test suite may become redundant as the software is modified over time since the requirements covered by them are also covered by other test cases. Due to the resource and time constraints for re-executing large test suites, it is important to develop techniques to minimize available test suites by removing redundant test cases. In general, the test suite minimization problem is NP complete. In this paper, we present a new greedy heuristic algorithm for selecting a minimal subset of a test suite T that covers all the requirements covered by T . We show how our algorithm was inspired by the concept analysis framework. We conducted experiments to measure the extent of test suite reduction obtained by our algorithm and prior heuristics for test suite minimization. In our experiments, our algorithm al- ways selected same size or smaller size test suite than that selected by prior heuristics and had comparable time performance.

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Software Architecture Document | Part 1Habibur Rony

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Dependency in Dependency InjectionHabibur Rony

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