Software reliability analysis models
IBM Journal of Research and Development
Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
A software reliability growth model for an error-removal phenomenon
Software Engineering Journal
Handbook of software reliability engineering
Handbook of software reliability engineering
A Flexible Modelling Approach for Software Reliability Growth
Software Reliability Modelling and Identification
Analysis of a Software Reliability Growth Model with Logistic Testing-Effort Function
ISSRE '97 Proceedings of the Eighth International Symposium on Software Reliability Engineering
IBM Systems Journal
Hi-index | 0.00 |
Large number of software reliability growth models (SRGMs) exists in the literature, still more are being proposed as no single SRGM can be deemed to be the best. Better models are those which can capture the variability in the software failure curves obtained during the testing phase. These models are called flexible models and in this paper an attempt has been made to propose a flexible model with more realistic assumptions. The model takes into account the testing effort and knowledge gained by the testing team during testing. The applicability of the proposed model is shown by validating it on software failure data sets obtained from different real software development projects. Comparisons with established models in terms of goodness of fit, the Akaike Information Criterion, mean squared errors have been presented.