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Optimisation of software release time using adaptive neuro fuzzy approach

Author

Listed:
  • Shubhra Gautam
  • Deepak Kumar
  • L.M. Patnaik

Abstract

Cost and reliability are two important factors that govern the release time of software. These parameters are estimated with respect to mean number of failures in the software. A software release time growth model is used to determine the reliability of the software. The most important decision taken by the software development team is to release a software with maximum reliability and minimum cost. Researchers have discussed various optimisation methods to find the optimal release time. In this research study, an adaptive neuro fuzzy optimisation method is discussed with different input criteria to find the optimal time of release of software. Different input criteria considered in this research are cost and reliability of the software. Adaptive neuro fuzzy optimisation method has the advantage of fuzzy logic as well as neural network. Numerical examples are explained and results are compared with the other optimisation methods. From the results of the numerical example, it can be concluded that the neuro fuzzy optimisation method is best for software release time optimisation.

Suggested Citation

  • Shubhra Gautam & Deepak Kumar & L.M. Patnaik, 2022. "Optimisation of software release time using adaptive neuro fuzzy approach," International Journal of Intelligent Enterprise, Inderscience Enterprises Ltd, vol. 9(2), pages 195-206.
    • Handle: RePEc:ids:ijient:v:9:y:2022:i:2:p:195-206
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