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
Reducing the cost of model-based testing through test case diversity
ICTSS'10 Proceedings of the 22nd IFIP WG 6.1 international conference on Testing software and systems
Prioritizing test cases with string distances
Automated Software Engineering
Achieving scalable model-based testing through test case diversity
ACM Transactions on Software Engineering and Methodology (TOSEM)
Static test case prioritization using topic models
Empirical Software Engineering
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Test case prioritisation aims at finding an ordering which enhances a certain property of an ordered test suite. Traditional techniques rely on the availability of code or a specification of the program under test. In this paper, we propose to use string distances on the text of test cases for their comparison and elaborate a prioritisation algorithm. Such a prioritisation does not require code and can be useful for initial testing and in cases when code is difficult to instrument. We also briefly report on preliminary results of an experiment where the proposed prioritisation technique was compared with random permutations and four classical string distance metrics were evaluated.