Quantitative Software Reliability Modeling from Testing to Operation

  • Authors:
  • Chin-Yu Huang;Sy-Yen Kuo;Jung-Hua Lo;Michael R. Lyu

  • Affiliations:
  • -;-;-;-

  • Venue:
  • ISSRE '00 Proceedings of the 11th International Symposium on Software Reliability Engineering
  • Year:
  • 2000

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Abstract

In this paper, we first describe how several existing software reliability growth models based on Non-homogeneous Poisson Processes (NHPPs) can be derived based on a unified theory for NHPP models. Under this general framework, we can verify existing NHPP models and derive new NHPP models. The approach covers a number of known models under different conditions. Based on these approaches, we show a method of estimating and computing software reliability growth during operational phase. We can use this method to describe the transitions from testing phase to operational phase. That is, we propose a method of predicting the fault detection rate to reflect changes in the user's operational environments. The proposed method offers a quantitative analysis on software failure behavior in field operation and provides useful feedback information to the development process.