Software reliability analysis models
IBM Journal of Research and Development
Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
Journal of Information Processing
Handbook of software reliability engineering
Handbook of software reliability engineering
Applying Reliability Models More Effectively
IEEE Software
Log-Logistic Software Reliability Growth Model
HASE '98 The 3rd IEEE International Symposium on High-Assurance Systems Engineering
Analysis of a Software Reliability Growth Model with Logistic Testing-Effort Function
ISSRE '97 Proceedings of the Eighth International Symposium on Software Reliability Engineering
Pragmatic Study of Parametric Decomposition Models for Estimating Software Reliability Growth
ISSRE '98 Proceedings of the The Ninth International Symposium on Software Reliability Engineering
Journal of Systems and Software
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It is quite natural to produce reliable software systems efficiently since the breakdown of the computer systems, which is caused by software errors, results in a tremendous loss and damage for social life. We present Software Reliability Growth Model (SRGM) based on nonhomogeneous Poisson process (NHPP), which incorporates the amount of testing effort consumptions during software testing phase. The time dependent behavior of testing effort consumptions is described by Log-Logistic curve. [1] has used this model into SRGM for finite failure NHPP. In this paper, we will show that a Log-Logistic Test-Effort Function (TEF) can be expressed as a Software Development/test-effort curve. It is assume that the error detection rate to the amount of testing-effort spent during the testing phase is proportional to the current error content. The SRGM parameters are estimated by least square estimation (LSE) and Maximum likelihood Estimation (MLE) methods. The method of data analysis for software reliability measurements are presented for three real data set and results are compared with other existing models to show that the proposed model is good enough to give more accurate description of resources consumption give better fit. This model can be applied to a wide range of software system. In addition, the optimal release policy based on reliability and cost criteria for software system are proposed.