Study on the failure intensity of different software faults

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

Research output: Contribution to journalConference article

3 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)86-94
Number of pages9
JournalProceedings - International Conference on Software Engineering
Publication statusPublished - 1997 Jan 1
Externally publishedYes
EventProceedings of the 1997 IEEE 19th International Conference on Software Engineering - Boston, MA, USA
Duration: 1997 May 171997 May 23

ASJC Scopus subject areas

  • Software

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