Optimum Testing Time of Software using Size-Biased Concepts
Ashis Kumar Chakraborty, Parna Chatterjee, Poulami Chakraborty and, Aleena Chanda

TL;DR
This paper introduces a size-biased modeling approach combined with Bayesian methods to determine the optimal software release time, demonstrating its broad applicability and comparing it favorably with existing models.
Contribution
It presents a novel size-biased modeling framework for software release timing using Bayesian analysis, applicable to various reliability data sets and other fields.
Findings
Model effectively determines optimal release time.
Applicable to diverse reliability data and fields.
Outperforms similar recent models.
Abstract
Optimum software release time problem has been an interesting area of research for several decades now. We introduce here a new concept of size-biased modelling to solve for the optimum software release time. Bayesian approach is used to solve the problem. We also discuss about the applicability of the model for a specific data set, though we believe that the model is applicable to all kind of software reliability data collected in a discrete framework. It has applications in other fields like oil exploration also. Finally, we compare favourably our model with another similar model published recently. We also provide in this article some future possibilities of research work.
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Taxonomy
TopicsSoftware Reliability and Analysis Research · Software Testing and Debugging Techniques · Formal Methods in Verification
