Applying Reliability Models More Effectively

Authors:
Michael R. Lyu;Allen Nikora
Affiliations:
-;-
Venue:
IEEE Software
Year:
1992

Citing 3
Cited 13

Evaluation of competing software reliability predictions

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Software reliability: measurement, prediction, application

Software reliability: measurement, prediction, application
Recommended Practice for Software Reliability

Recommended Practice for Software Reliability

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A Generalized Technique for Simulating Software Reliability

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Effort-Index-Based Software Reliability Growth Models and Performance Assessment

COMPSAC '00 24th International Computer Software and Applications Conference
Software Reliability Modeling and Cost Estimation Incorporating Testing-Effort and Efficiency

ISSRE '99 Proceedings of the 10th International Symposium on Software Reliability Engineering
Software Reliability Growth Models Incorporating Fault Dependency with Various Debugging Time Lags

COMPSAC '04 Proceedings of the 28th Annual International Computer Software and Applications Conference - Volume 01
Analysis of a software reliability growth models: the case of log-logistic test-effort function

MS'06 Proceedings of the 17th IASTED international conference on Modelling and simulation
An integration of fault detection and correction processes in software reliability analysis

Journal of Systems and Software - Special issue: Selected papers from the 4th source code analysis and manipulation (SCAM 2004) workshop
Enhancing and measuring the predictive capabilities of testing-effort dependent software reliability models

Journal of Systems and Software
Reliability analysis using weighted combinational models for web-based software

Proceedings of the 18th international conference on World wide web
Software Reliability Prediction Using Group Method of Data Handling

RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
A novel composite model approach to improve software quality prediction

Information and Software Technology
An approach to software reliability prediction based on time series modeling

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Linear combination of multiple case-based reasoning with optimized weight for software effort estimation

The Journal of Supercomputing

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Abstract

A set of linear combination software reliability models that combine the results of single, or component, models is presented. It is shown that, as measured by statistical methods for determining a model's applicability to a set of failure data, a combination model tends to have more accurate short-term and long-term predictions than a component model. These models were evaluated using both historical data sets and data from recent Jet Propulsion Laboratory projects. The computer-aided software reliability estimation (CASRE) tool, which automates many reliability measurement tasks and makes it easier to apply reliability models and to form combination models, is described.