An empirical analysis of the FixCache algorithm
Proceedings of the 8th Working Conference on Mining Software Repositories
BugCache for inspections: hit or miss?
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering
Highly scalable multi objective test suite minimisation using graphics cards
SSBSE'11 Proceedings of the Third international conference on Search based software engineering
A qualitative survey of regression testing practices
PROFES'10 Proceedings of the 11th international conference on Product-Focused Software Process Improvement
Test overlay in an emerging software product line - An industrial case study
Information and Software Technology
Does bug prediction support human developers? findings from a google case study
Proceedings of the 2013 International Conference on Software Engineering
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Background: The fix-cache approach to regression test selection was proposed to identify the most fault-prone files and corresponding test cases through analysis of fixed defect reports. Aim: The study aims at evaluating the efficiency of this approach, compared to the previous regression test selection strategy in a major corporation, developing embedded systems. Method: We launched a post-hoc case study applying the fix-cache selection method during six iterations of development of a multi-million LOC product. The test case execution was monitored through the test management and defect reporting systems of the company. Results: From the observations, we conclude that the fix-cache method is more efficient in four iterations. The difference is statistically significant at alpha = 0.05. Conclusions: The new method is significantly more efficient in our case study. The study will be replicated in an environment with better control of the test execution.