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Bayesian optimum stopping rule for software release

  • Chakraborty Ashis Kumar 
  • Gopal Krishna Basak
  • Suchismita DasEmail author
Theoretical Article
  • 1 Downloads

Abstract

This Paper proposes a Bayesian approach to find out the optimum stopping rule of software testing. We consider a discrete periodic debugging framework so that software can be released for market once the criteria are fulfilled. Simplification of stopping rules were obtained by using some specific prior distributions of the number of remaining bugs. We also develop necessary and sufficient conditions for stopping the software testing. Some illustrative examples are presented.

Keywords

Bayesian approach Optimal release time Prior distribution Software reliability Stopping rule 

Mathematics Subject Classification

Primary: 62N05; Secondary: 90B25 

Notes

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Copyright information

© Operational Research Society of India 2019

Authors and Affiliations

  • Chakraborty Ashis Kumar 
    • 1
  • Gopal Krishna Basak
    • 2
  • Suchismita Das
    • 3
    Email author
  1. 1.Statistical Quality Control and Operations Research DivisionIndian Statistical Institute, KolkataKolkataIndia
  2. 2.Statistics and Mathematics UnitIndian Statistical Institute, KolkataKolkataIndia
  3. 3.S P Jain School of Global ManagementMumbaiIndia

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