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A Linearized Growth Curve Model for Software Reliability Data Analysis

In: Recent Advances in Reliability and Quality in Design

Author

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  • Mitsuhiro Kimura

    (Hosei University)

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.

Suggested Citation

  • Mitsuhiro Kimura, 2008. "A Linearized Growth Curve Model for Software Reliability Data Analysis," Springer Series in Reliability Engineering, in: Hoang Pham (ed.), Recent Advances in Reliability and Quality in Design, chapter 13, pages 275-290, Springer.
    • Handle: RePEc:spr:ssrchp:978-1-84800-113-8_13
    DOI: 10.1007/978-1-84800-113-8_13
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