TENCON 2005 - 2005 IEEE Region 10 Conference 2005
DOI: 10.1109/tencon.2005.301134
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Software Reliability Modeling withWeibull-type Testing-Effort and Multiple Change-Points

Abstract: Software reliability is defined as the probability of failure-free software operation for a specified period of time in a specified environment. Over the past 30 years, many software reliability growth models (SRGMs) have been proposed for estimation of reliability growth of products during software development processes. SRGMs proposed in the literature took into consideration the amount of testing-effort spent on software testing which can be depicted as a Weibull-type curve. However, in reality, the consump… Show more

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Cited by 3 publications
(2 citation statements)
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“…Inoue and Yamada [45] compared the failure phenomenon of software system before and after change during testing environment. Lin and Huang [46] analyzed the performance of reliability growth models that considered Weibull TEF and multiple change points. He considered that the rate of fault detection between failure occurrences may change at a point.…”
Section: B Change Pointmentioning
confidence: 99%
“…Inoue and Yamada [45] compared the failure phenomenon of software system before and after change during testing environment. Lin and Huang [46] analyzed the performance of reliability growth models that considered Weibull TEF and multiple change points. He considered that the rate of fault detection between failure occurrences may change at a point.…”
Section: B Change Pointmentioning
confidence: 99%
“…Hence, fault detection and introduction rate cannot be constant throughout the testing process, but can change at any time point [12]. Many researchers have proposed different SRGMs using change point concept [8][9][10][11][12][13][14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%