Gompertz software reliability model : Estimation algorithm and empirical validation

Jpuranal of Systems and Software 82 巻 3 号 535-543 頁 2009 発行
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タイトル ( eng )
Gompertz software reliability model : Estimation algorithm and empirical validation
作成者
Ohishi Koji
収録物名
Jpuranal of Systems and Software
82
3
開始ページ 535
終了ページ 543
抄録
Gompertz Curve has been used to estimate the number of residual faults in testing phases of software development, especially by Japanese software development companies. Since the Gompertz curve is a deterministic function, the curve cannot be applied to estimating software reliability which is the probability that software system does not fail in a prefixed time period. In this article, we propose a stochastic model called the Gompertz software reliability model based on non-homogeneous Poisson processes. The proposed model can be derived from the statistical theory of extreme-value, and has a similar asymptotic property to the deterministic Gompertz curve. Also, we develop an EM algorithm to determine the model parameters effectively. In numerical examples with software failure data observed in real software development projects, we evaluate performance of the Gompertz software reliability model in terms of reliability assessment and failure prediction.
著者キーワード
Software reliability model
Gompertz curve
Extremal distributions
Reliability assessment
NHPP
EM algorithm
NDC分類
電気工学 [ 540 ]
言語
英語
資源タイプ 学術雑誌論文
出版者
Elsevier Science Inc
発行日 2009
権利情報
Copyright (c) 2008 Elsevier Inc.
出版タイプ Author’s Original(十分な品質であるとして、著者から正式な査読に提出される版)
アクセス権 オープンアクセス
収録物識別子
[ISSN] 0164-1212
[DOI] 10.1016/j.jss.2008.11.840
[NCID] AA00259460
[DOI] http://dx.doi.org/10.1016/j.jss.2008.11.840