A Linearized Growth Curve Model for Software Reliability Data Analysis

Mitsuhiro Kimura
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Mitsuhiro Kimura: Hosei University

Chapter 13 in Recent Advances in Reliability and Quality in Design, 2008, pp 275-290 from Springer

Abstract: Abstract This chapter discusses a method for applying a linear regression analysis to software reliability data. By expanding five traditional growth curve models, we propose a linearized growth curve model. The unknown parameters included in the model can be estimated by log-linear regression with the method of two-parameter numerical differentiation which is introduced in this study. This model and its estimation results can provide a control chart representing the degree of software reliability growth and testing progress in a software testing phase. Also the estimated growth curve can be used as a generalized growth curve model, which describes the future behavior of the cumulative number of detected software faults.

Keywords: Software Testing; Software Reliability; Growth Curve Model; Software Fault; Testing Progress (search for similar items in EconPapers)
Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-1-84800-113-8_13

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DOI: 10.1007/978-1-84800-113-8_13

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