articleNov 7, 2005Closed access

Empirical evaluation of the tarantula automatic fault-localization technique

Georgia Institute of Technology

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Abstract

The high cost of locating faults in programs has motivated the development of techniques that assist in fault localization by automating part of the process of searching for faults. Empirical studies that compare these techniques have reported the relative effectiveness of four existing techniques on a set of subjects. These studies compare the rankings that the techniques compute for statements in the subject programs and the effectiveness of these rankings in locating the faults. However, it is unknown how these four techniques compare with Tarantula, another existing fault-localization technique, although this technique also provides a way to rank statements in terms of their suspiciousness. Thus, we…

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2

Topics & keywords

Keywords
  • Computer science
  • Set (abstract data type)
  • Rank (graph theory)
  • Fault (geology)
  • Process (computing)
  • Empirical research
  • Data mining
  • Artificial intelligence
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