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Imperfect debugging study of SRGM with fault reduction factor and multiple change point

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  • Madhu Jain
  • T. Manjula
  • T.R. Gulati

Abstract

The present investigation deals with the software reliability growth models (SRGMs) with imperfect debugging, testing effort function (TEF) and fault reduction factor (FRF). FRF is basically defined as the net number of faults removed in proportion to the failures experienced. We propose a new scheme for constructing SRGM based on non-homogeneous Poisson process (NHPP). The concept of Weibull type testing-effort function with multiple change point has been incorporated. The main focus in the present investigation is to obtain mean value function which is further employed to explore the software reliability indices. The model parameters are estimated by least square and maximum likelihood estimation techniques. The optimal release policy based on cost, reliability and testing efforts is also suggested. Numerical results are given to illustrate the validity of analytical results.

Suggested Citation

  • Madhu Jain & T. Manjula & T.R. Gulati, 2014. "Imperfect debugging study of SRGM with fault reduction factor and multiple change point," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 6(2), pages 155-175.
    • Handle: RePEc:ids:ijmore:v:6:y:2014:i:2:p:155-175
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    Cited by:

    1. Vishal Pradhan & Ajay Kumar & Joydip Dhar, 2022. "Modelling software reliability growth through generalized inflection S-shaped fault reduction factor and optimal release time," Journal of Risk and Reliability, , vol. 236(1), pages 18-36, February.

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