A Study on the Failure Intensity of Different Software Faults

Kazuyuki Shima, Shingo Takada, Ken-ichi Matsumoto, Koji Torii

Abstract

We describe an experiment investigating the distribution of failure intensity in software reliability growth models.We found that the assumption of conventional models that the failure intensity follows a gamma distribution is not always true.Our new software reliability model does not make this assumption; rather, the failure intensity is calculated from failure data.We show that our new model predicts more accurately the number of detected faults for our study project than the conventional models.

BibTeX

@inproceedings{Shima-al:ICSE97,
  author    = {Kazuyuki Shima and
               Shingo Takada and
               Ken{-}ichi Matsumoto and
               Koji Torii},
  title     = {A Study on the Failure Intensity of Different Software Faults},
  booktitle = {ICSE},
  pages     = {86--94},
  publisher = {{ACM}},
  year      = {1997},
}

A Study on the Failure Intensity of Different Software Faults

Abstract

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