Software Reliability Modeling Based on Burr XII Distributions

Takahiro IMANAKA  Tadashi DOHI  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E98-A    No.10    pp.2091-2095
Publication Date: 2015/10/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E98.A.2091
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.