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Predicting the cost-effectiveness of regression testing strategies
1996
Proceedings of the 4th ACM SIGSOFT symposium on Foundations of software engineering - SIGSOFT '96
Selective regression testing strategies aim at choosing an appropriate subset of test cases from among a previously run test suite for a software system, based on information about the changes made to the system to create new versions. Although there has been a significant amount of research in recent years on the design of such strategies, there has been significantly less investigation of their cost-effectiveness. In this paper some computationally efficient predictors of the
doi:10.1145/239098.239118
dblp:conf/sigsoft/RosenblumW96
fatcat:klfa2yejmjd3bhu3ijlhot7u6e