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Software reliability modeling based on NHPP for error occurrence in each fault with periodic debugging schedule

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  • Sudipta Das
  • Damitri Kundu
  • Anup Dewanji

Abstract

In this article, we discuss a continuous time software reliability model under the non homogeneous Poisson process (NHPP) assumption for error occurrence in each fault to suit periodic debugging, in which errors are not corrected at the instants of their detection but at some pre-specified debugging times. We describe maximum likelihood estimation for the model parameters and provide a computational method to estimate those parameters. This in turn helps to estimate the reliability of the software. We also discuss some asymptotic properties of the estimated model parameters, specially the number of errors initially present in the software. Finally, we investigate the finite sample properties of the estimates under a specific family of NHPP models, specially that of the initial number of errors, through simulation.

Suggested Citation

  • Sudipta Das & Damitri Kundu & Anup Dewanji, 2022. "Software reliability modeling based on NHPP for error occurrence in each fault with periodic debugging schedule," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 51(14), pages 4890-4902, July.
    • Handle: RePEc:taf:lstaxx:v:51:y:2022:i:14:p:4890-4902
    DOI: 10.1080/03610926.2020.1828462
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