A State Space Model for Software Reliability

Chang, Yen-Chang; Leu, Lii-Yuh

doi:10.1023/a:1003721232207

Cited by 7 publications

(1 citation statement)

References 15 publications

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“…Zeephongsekul's assumption is an important development in modeling scheme and has certainly introduced somewhat a reasonable explanation to the nature of things that may happen in software domains. Chang and Leu [18] proposed a non-Gaussian state space model to formulate an imperfect debugging phenomenon in software reliability in order to predict software failure time with imperfect debugging. This type of modeling has been found to be suitable for tracking software reliability.…”

Section: Established a Modelmentioning

confidence: 99%

What is impeding the software reliability models performance? A new taxonomy

Faqih¹

2015

ces

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This article is set to explore the critical factors and issues that hinder the performance of software reliability modeling. The literature review indicates that software reliability models have not delivered the desirable deliverables that they are intended to realize. The current work suggests that the reasons for such performance incompetence of the software reliability modeling are attributed to eight major causes. This study suggests that either the contemporary methodologies that handle the reliability concept in application to software domain are immature, or the software reliability models have been used in a harsh environment (the software environment), which is not even amenable to any type of mathematical analysis.

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Section: Established a Modelmentioning

confidence: 99%