Software reliability growth models with normal failure time distributions

Hiroyuki Okamura, Tadashi Dohi and Shunji Osaki

Reliability Engineering and System Safety, 2013, vol. 116, issue C, 135-141

Abstract: This paper proposes software reliability growth models (SRGM) where the software failure time follows a normal distribution. The proposed model is mathematically tractable and has sufficient ability of fitting to the software failure data. In particular, we consider the parameter estimation algorithm for the SRGM with normal distribution. The developed algorithm is based on an EM (expectation-maximization) algorithm and is quite simple for implementation as software application. Numerical experiment is devoted to investigating the fitting ability of the SRGMs with normal distribution through 16 types of failure time data collected in real software projects.

Keywords: Software reliability growth model; Normal distribution; EM algorithm (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:116:y:2013:i:c:p:135-141

DOI: 10.1016/j.ress.2012.02.002

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