An enhanced test case selection approach for model-based testing: an industrial case study
Proceedings of the eighteenth ACM SIGSOFT international symposium on Foundations of software engineering
Achieving scalable model-based testing through test case diversity
ACM Transactions on Software Engineering and Methodology (TOSEM)
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This paper proposes a model-based regression test suite reduction method. The proposed method considers an SDL model representing the requirements of a system under test and a set of modifications on this model, applies dependence analysis to identify interaction patterns related to each type of modifications, i.e., adding, deleting, and changing transitions in the SDL model, and reduces the size of a given regression test suite by examining interaction patterns covered by each test case in the test suite. Results of empirical studies are reported. Copyright © 2009 John Wiley & Sons, Ltd. The method proposed in this paper considers an SDL model representing the requirements of a system under test and a set of modifications on this model, applies dependence analysis to identify interaction patterns related to each type of modifications, i.e., adding, deleting, and changing transitions in the SDL model, and reduces the size of a given regression test suite by examining interaction patterns covered by each test case in the test suite. Copyright © 2009 John Wiley & Sons, Ltd.