A general modeling and analysis framework for software fault detection and correction process

Abstract

Summary Software reliability growth modeling plays an important role in software reliability evaluation. To incorporate more information and provide more accurate analysis, modeling software fault detection and correction processes has attracted widespread research attention recently. In modeling software correction processes, the assumption of fault correction time is relaxed from constant delay to random delay. However, stochastic distribution of fault correction time brings more difficulties in modeling and corresponding parameter estimation. In this paper, a framework of software reliability models containing both information from software fault detection process and correction process is studied. Different from previous extensions on software reliability growth modeling, the proposed approach is based on Markov model other than a nonhomogeneous Poisson process model. Also, parameter estimation is carried out with weighted least‐square estimation method, which emphasizes the influence of later data on the prediction. Two data sets from practical software development projects are applied with the proposed framework, which shows satisfactory performance with the results. Copyright © 2016 John Wiley & Sons, Ltd.

An improved software reliability prediction model by using high precision error iterative analysis method

“…, Liu et al. , Wu et al. , and Pham and Pham proposed models based on fault correction and detection rate issues.…”

Generalized multi‐release modelling of software reliability growth models from the perspective of two types of imperfect debugging and change point

“…Then, models incorporating both imperfect debugging and error introduction/generation have been put forth in previous studies . Recently, more work on fault detection and correction or imperfect debugging has been proposed by other studies . All these models assume that the rate of fault detection and/or removal stays the same throughout the testing.…”

“…4,[15][16][17] Recently, more work on fault detection and correction or imperfect debugging has been proposed by other studies. [18][19][20][21][22]46,49,52,54 All these models assume that the rate of fault detection and/or removal stays the same throughout the testing. In Kapur et al, 23 models have been proposed based on change point.…”

A novel approach of NPSO on dynamic weighted NHPP model for software reliability analysis with additional fault introduction parameter

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