Software Reliability Modeling Based on Burr XII Distributions

Takahiro IMANAKA; Tadashi DOHI

doi:10.1587/transfun.E98.A.2091

Special Section on Recent Developments on Reliability, Maintainability and Dependability

Software Reliability Modeling Based on Burr XII Distributions

著者情報

キーワード: software reliability, non-homogeneous Poisson process, Burr XII distribution, Burr XII regression, software metrics, maximum likelihood estimation, goodness-of-fit performence

ジャーナル認証あり

2015 年 E98.A 巻 10 号 p. 2091-2095

DOI https://doi.org/10.1587/transfun.E98.A.2091

詳細

抄録

In this letter we develop a software reliability modeling framework by introducing the Burr XII distributions to software fault-detection time. An extension to deal with software metrics data characterizing the product size, program complexity or testing expenditure is also proposed. Finally, we investigate the goodness-of-fit performance and compare our new models with the existing ones through real data analyses.

責任著者(Corresponding author)

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