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
XML-manipulating test case prioritization for XML-manipulating services
Journal of Systems and Software
An empirical study on the usage of testability information to fault localization in software
Proceedings of the 2011 ACM Symposium on Applied Computing
Adaptive random testing: an illusion of effectiveness?
Proceedings of the 2011 International Symposium on Software Testing and Analysis
Prioritizing test cases with string distances
Automated Software Engineering
Prioritizing tests for fault localization through ambiguity group reduction
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
How well does test case prioritization integrate with statistical fault localization?
Information and Software Technology
Proceedings of the 2012 International Symposium on Software Testing and Analysis
Software—Practice & Experience
Diversity maximization speedup for fault localization
Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering
Automation and Remote Control
Achieving scalable model-based testing through test case diversity
ACM Transactions on Software Engineering and Methodology (TOSEM)
A general noise-reduction framework for fault localization of Java programs
Information and Software Technology
Information and Software Technology
Bridging the gap between the total and additional test-case prioritization strategies
Proceedings of the 2013 International Conference on Software Engineering
Test Pair Selection for Test Case Prioritization in Regression Testing for WS-BPEL Programs
International Journal of Web Services Research
Static test case prioritization using topic models
Empirical Software Engineering
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Regression testing assures changed programs against unintended amendments. Rearranging the execution order of test cases is a key idea to improve their effectiveness. Paradoxically, many test case prioritization techniques resolve tie cases using the random selection approach, and yet random ordering of test cases has been considered as ineffective. Existing unit testing research unveils that adaptive random testing (ART) is a promising candidate that may replace random testing (RT). In this paper, we not only propose a new family of coverage-based ART techniques, but also show empirically that they are statistically superior to the RT-based technique in detecting faults. Furthermore, one of the ART prioritization techniques is consistently comparable to some of the best coverage-based prioritization techniques (namely, the "additional" techniques) and yet involves much less time cost.