Discrete software reliability assessment with discretized NHPP models

Authors:
Shinji Inoue;Shigeru Yamada
Affiliations:
-;-
Venue:
Computers & Mathematics with Applications
Year:
2006

Citing 4
Cited 1

Software reliability: measurement, prediction, application

Software reliability: measurement, prediction, application
Discrete Equations and Software Reliability Growth Models

ISSRE '01 Proceedings of the 12th International Symposium on Software Reliability Engineering
Software Reliability Growth Modeling: Models and Applications

IEEE Transactions on Software Engineering
Optimal allocation policies for testing-resource based on a software reliability growth model

Mathematical and Computer Modelling: An International Journal

Discrete Program-Size Dependent Software Reliability Assessment: Modeling, Estimation, and Goodness-of-Fit Comparisons

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

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Abstract

A software reliability growth model is one of the fundamental technique to assess software reliability quantitatively. The software reliability growth model is required to have a good performance in terms of goodness-of-fit, predictability, and so forth. In this paper, we propose discretized software reliability growth models. As to the software reliability growth modeling, discretized nonhomogeneous Poisson process models are investigated particularly for accurate software reliability assessment. We show that the discrete nonhomogeneous Poisson process models have better performance than discretized deterministic software reliability growth models which have been proposed so far.