A study of software fault detection and correction process models

Abstract

Most of the models for software reliability analysis are based on reliability growth models which deal with the fault detection process only. In this paper, some useful approaches to the modeling of both software fault detection and fault correction processes are discussed. To provide accurate predictions for correct decision-makings, parameters estimation method is critical. Specifically, a new explicit formula for the likelihood function of the combined fault detection and correction process is derived and the maximum likelihood estimates are obtained under various time delay assumptions. As an illustration, actual dataset from a software development project is analyzed. In addition, cost models are discussed in the context of this modeling framework on fault detection and correction. The corresponding effects on optimal release time are analyzed comprehensively. Also, potential benefits of this model on other aspects of software testing management are discussed. © 2006 IEEE.