Fault Localization Based Only on Failed Runs

  • Authors:
  • Zhenyu Zhang;W. K. Chan;T. H. Tse

  • Affiliations:
  • Institute of Software, Chinese Academy of Sciences, Beijing;City University of Hong Kong, Kowloon Tong;The University of Hong Kong, Pokfulam

  • Venue:
  • Computer
  • Year:
  • 2012

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Abstract

Fault localization commonly relies on both passed and failed runs, but passed runs are generally susceptible to coincidental correctness and modern software automatically produces a huge number of bug reports on failed runs. FOnly is an effective new technique that relies only on failed runs to locate faults statistically.