Bivariate change-point modeling for software reliability assessment with uncertainty of testing-environment factor

Abstract

We observe a phenomenon that the probabilistic characteristic of software failureoccurrence time-interval change notably in an actual testing-phase of a software development process. Testing-time observing such phenomenon is ordinarily called change-point. This phenomenon is treated as one of the factors affecting the accuracy of software reliability assessment based on a software reliability growth model. And regarding software reliability growth modeling, a bivariate software reliability growth model, which describes a software reliability growth process depending on the software reliability growth factor consists of testing-time and testing-effort factors, has been proposed for improving software reliability assessment accuracy based on the software reliability growth process. In this paper, we develop a bivariate software reliability growth model considering with the uncertainty of the change of software failure-occurrence phenomenon at the change-point for improving more the accuracy. Finally we show numerical examples of our model by using actual data.

NHPP Software Reliability Model with Inflection Factor of the Fault Detection Rate Considering the Uncertainty of Software Operating Environments and Predictive Analysis

“…Based on this, Teng and Pham [8] generalized the software reliability model considering the uncertainty of the environment and its effects upon software failure rates. Recently, Inoue et al [9] proposed the software reliability model with the uncertainty of testing environments. Li and Pham [10,11] proposed NHPP software reliability models considering fault removal efficiency and error generation, and the uncertainty of operating environments with imperfect debugging and testing coverage.…”

“…Zhu and Pham [16] proposed an NHPP software reliability model with a pioneering idea by considering software fault dependency and imperfect fault removal. However, previous NHPP software reliability models [1][2][3][4][17][18][19][20][21][22][23][24][25] did not take into account the uncertainty of the software operating environment, and did not consider the learn-curve in the fault detection rate function [8][9][10][11]13,14,26,27].…”

A Software Reliability Model Considering the Syntax Error in Uncertainty Environment, Optimal Release Time, and Sensitivity Analysis

“…Pham [10] discussed a new model that incorporates the uncertainty of the system fault detection rate per unit of time subjected to operating environments. Inoue et al [11] conducted software reliability modeling considering the uncertainty of the testing environment. Li et al [12] performed new testing coverage modeling that considers not only the error generation but also the fault removal efficiency based on NHPP.…”

Optimal Release Time and Sensitivity Analysis Using a New NHPP Software Reliability Model with Probability of Fault Removal Subject to Operating Environments

“…Since then, many models using environmental changes have been developed; Teng and Pham [6] discussed a generalized model that captures the uncertainty of the environment and its effects upon the software failure rate. Recently, Inoue et al [7] conducted software reliability modeling with uncertainty of testing environments. In addition, Li and Pham [2,8] proposed NHPP SRMs considering fault removal efficiency and error generation, and the uncertainty of operating environments with imperfect debugging and testing coverage.…”