An empirical study of regression test selection techniques
ACM Transactions on Software Engineering and Methodology (TOSEM)
Proceedings of the 24th International Conference on Software Engineering
Test Case Prioritization: An Empirical Study
ICSM '99 Proceedings of the IEEE International Conference on Software Maintenance
A Study of Effective Regression Testing in Practice
ISSRE '97 Proceedings of the Eighth International Symposium on Software Reliability Engineering
Scaling regression testing to large software systems
Proceedings of the 12th ACM SIGSOFT twelfth international symposium on Foundations of software engineering
A Safe Regression Test Selection Technique for Database-Driven Applications
ICSM '05 Proceedings of the 21st IEEE International Conference on Software Maintenance
Search Algorithms for Regression Test Case Prioritization
IEEE Transactions on Software Engineering
Recomputing Coverage Information to Assist Regression Testing
IEEE Transactions on Software Engineering
Regression test selection for c# programs
Advances in Software Engineering
Regression Testing in the Presence of Non-code Changes
ICST '11 Proceedings of the 2011 Fourth IEEE International Conference on Software Testing, Verification and Validation
Making the Case for MORTO: Multi Objective Regression Test Optimization
ICSTW '11 Proceedings of the 2011 IEEE Fourth International Conference on Software Testing, Verification and Validation Workshops
ICTAI '11 Proceedings of the 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence
Regression testing minimization, selection and prioritization: a survey
Software Testing, Verification & Reliability
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Regression Test Suite Optimization (RTO) is an active research area. A Regression Test Suite is always growing due to changes in software, which increases testing time. To save time and resources optimization of regression test suites is mandatory. Researchers have optimized test suites using conventional and Computational Intelligence based approaches and achieve optimization of regression test suites through selection techniques, minimization or reduction techniques and ranking or prioritization techniques. This paper surveys existing techniques for regression test suite optimization, various tools and mathematical models being used for RTO. During this survey we found many interesting facts about regression test suite optimization that will be shared in the conclusion.