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A Bayesian Reliability Growth Model for Computer Software

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  • B. Littlewood
  • J. L. Verrall

Abstract

A Bayesian reliability growth model is presented which includes special features designed to reproduce special properties of the growth in reliability of an item of computer software (program). The model treats the situation where the program is sufficiently complete to work for continuous time periods between failures, and gives a repair rule for the action of the programmer at such failures. Analysis is based entirely upon the length of the periods of working between repairs and failures, and does not attempt to take account of the internal structure of the program. Methods of inference about the parameters of the model are discussed.

Suggested Citation

  • B. Littlewood & J. L. Verrall, 1973. "A Bayesian Reliability Growth Model for Computer Software," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 22(3), pages 332-346, November.
    • Handle: RePEc:bla:jorssc:v:22:y:1973:i:3:p:332-346
    DOI: 10.2307/2346781
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    Cited by:

    1. Yen-Chang Chang & Lii-Yuh Leu, 1998. "A State Space Model for Software Reliability," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 50(4), pages 789-799, December.
    2. Johnston, Reuben & Sarkani, Shahryar & Mazzuchi, Thomas & Holzer, Thomas & Eveleigh, Timothy, 2019. "Bayesian-model averaging using MCMCBayes for web-browser vulnerability discovery," Reliability Engineering and System Safety, Elsevier, vol. 183(C), pages 341-359.
    3. Littlewood, Bev & Salako, Kizito & Strigini, Lorenzo & Zhao, Xingyu, 2020. "On reliability assessment when a software-based system is replaced by a thought-to-be-better one," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    4. Pithia, K.D. & Edwards, S.F., 1994. "Rheology of liquid foams," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 205(4), pages 565-576.
    5. Lian, Yongqiang & Tang, Yincai & Wang, Yijun, 2017. "Objective Bayesian analysis of JM model in software reliability," Computational Statistics & Data Analysis, Elsevier, vol. 109(C), pages 199-214.
    6. Alan Washburn, 2006. "A sequential Bayesian generalization of the Jelinski–Moranda software reliability model," Naval Research Logistics (NRL), John Wiley & Sons, vol. 53(4), pages 354-362, June.

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