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Publication Detail
Comparing white-box and black-box test prioritization
  • Publication Type:
    Conference
  • Authors:
    Henard C, Papadakis M, Harman M, Jia Y, Traon YL
  • Publication date:
    14/05/2016
  • Pagination:
    523, 534
  • Published proceedings:
    Proceedings - International Conference on Software Engineering
  • Volume:
    14-22-May-2016
  • ISBN-13:
    9781450339001
  • Status:
    Published
  • Conference start date:
    14/05/2016
  • Conference finish date:
    22/05/2016
  • Print ISSN:
    0270-5257
Abstract
© 2016 ACM.Although white-box regression test prioritization has been well-studied, the more recently introduced black-box prioritization approaches have neither been compared against each other nor against more well-established white-box techniques. We present a comprehensive experimental comparison of several test prioritization techniques, including wellestablished white-box strategies and more recently introduced black-box approaches. We found that Combinatorial Interaction Testing and diversity-based techniques (Input Model Diversity and Input Test Set Diameter) perform best among the black-box approaches. Perhaps surprisingly, we found little difference between black-box and white-box performance (at most 4% fault detection rate difference). We also found the overlap between black-and white-box faults to be high: the first 10% of the prioritized test suites already agree on at least 60% of the faults found. These are positive findings for practicing regression testers who may not have source code available, thereby making white-box techniques inapplicable. We also found evidence that both black-box and white-box prioritization remain robust over multiple system releases.
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