Non Homogeneous Poisson Process Model based Optimal Modular Software Testing using Fault Tolerance

TL;DR

This paper proposes a model using non-homogeneous Poisson processes to optimize testing schedules for software modules, prioritizing important modules under time and cost constraints.

Contribution

It introduces a novel approach to prioritize software modules and determine optimal testing time and cost using non-homogeneous Poisson process modeling.

Findings

Parameters for module prioritization are identified.

Optimal testing time and cost are estimated.

The model improves testing efficiency under resource constraints.

Abstract

In software development process we come across various modules. Which raise the idea of priority of the different modules of a software so that important modules are tested on preference. This approach is desirable because it is not possible to test each module regressively due to time and cost constraints. This paper discuss on some parameters, required to prioritize several modules of a software and provides measure of optimal time and cost for testing based on non homogeneous Poisson process.