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A discrete time model for software reliability with application to a flight control software

Author

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  • Anup Dewanji
  • Debasis Sengupta
  • Ashis Kumar Chakraborty

Abstract

This work is motivated by a particular software reliability problem in a unit of flight control software developed by the Indian Space Research Organization (ISRO), in which the testing of the software is carried out in multiple batches, each consisting of several runs. As the errors are found during the runs within a batch, they are noted, but not debugged immediately; they are debugged only at the end of that particular batch of runs. In this work, we introduce a discrete time model suitable for this type of periodic debugging schedule and describe maximum likelihood estimation for the model parameters. This model is used to estimate the reliability of the software. We also develop a method to determine the additional number of error‐free test runs required for the estimated reliability to achieve a specific target with some high probability. We analyze the test data on the flight control software of ISRO. Copyright © 2011 John Wiley & Sons, Ltd.

Suggested Citation

  • Anup Dewanji & Debasis Sengupta & Ashis Kumar Chakraborty, 2011. "A discrete time model for software reliability with application to a flight control software," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 27(6), pages 723-731, November.
    • Handle: RePEc:wly:apsmbi:v:27:y:2011:i:6:p:723-731
    DOI: 10.1002/asmb.902
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    Cited by:

    1. Ashis Kumar Chakraborty & Gopal Krishna Basak & Suchismita Das, 2019. "Bayesian optimum stopping rule for software release," OPSEARCH, Springer;Operational Research Society of India, vol. 56(1), pages 242-260, March.

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