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Software Reliability Modeling Based on Burr XII Distributions
Takahiro IMANAKA Tadashi DOHI
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2015/10/01
Online ISSN: 1745-1337
Type of Manuscript: Special Section LETTER (Special Section on Recent Developments on Reliability, Maintainability and Dependability)
software reliability, non-homogeneous Poisson process, Burr XII distribution, Burr XII regression, software metrics, maximum likelihood estimation, goodness-of-fit performence,
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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.