Optimum Software Release Time under Cost-Reliability Set-Up using Size-Biased Sampling

By : Ashis Kumar Chakraborty, Anisha Das

Page No: 35-58

Abstract
Prediction of the optimum time for software release has been an exploring research area in recent times. In this article, we propose a new formulation of the software testing problem in discrete set-up using the sizebiased concept and incorporate the Bayesian technique for finding out the optimum testing time through a trade-off between the total cost of testing the software and the attained bug size. We also show how this cost is related with reliability of the software, the reliability so computed being also determined in an easy way of just finding whether a bug is present or not.The model so developed has been tested on a simulated example, as well as verified with an actual commercial software. It is expected that our modeling will work on any software where data have been collected using a discrete framework. We conclude with possible extensions to our work in future.

Authors :
Ashis Kumar Chakraborty : Statistical Quality Control & Operations Research, Indian Statistical Institute, India
Anisha Das : Department of Statistics, Florida State University, USA
 

DOI: https://doi.org/10.32381/IAPQRT.2025.49.01.3