Software Reliability Modeling Based on Capture-Recapture Sampling

• OKAMURA Hiroyuki

  Department of Information Engineering, Graduate School of Engineering, Hiroshima University

• DOHI Tadashi

  Department of Information Engineering, Graduate School of Engineering, Hiroshima University

Abstract

This paper proposes a dynamic capture-recapture (DCR) model to estimate not only the total number of software faults but also quantitative software reliability from observed data. Compared to conventional static capture-recapture (SCR) model and usual software reliability models (SRMs) in the past literature, the DCR model can handle dynamic behavior of software fault-detection processes and can evaluate quantitative software reliability based on capture-recapture sampling of software fault data. This is regarded as a unified modeling framework of SCR and SRM with the Bayesian estimation. Simulation experiments under some plausible testing scenarios show that our models are superior to SCR and SRMs in terms of estimation accuracy.

Journal

• IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

  IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E92-A (7), 1615-1622, 2009

  The Institute of Electronics, Information and Communication Engineers

Keywords

• software reliability
• capture-recapture model
• parameter estimation
• sampling scheme
• Bayesian estimation

Details

• CRID: 1390282681286873856
• NII Article ID: 10026858250
• NII Book ID: AA10826239
• DOI: 10.1587/transfun.e92.a.1615
• ISSN: 17451337
• ISSN: 09168508
• Web Site: http://www.jstage.jst.go.jp/article/transfun/E92.A/7/E92.A_7_1615/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed