Certifying the reliability of software
IEEE Transactions on Software Engineering
Evaluation of competing software reliability predictions
IEEE Transactions on Software Engineering - Special issue on reliability and safety in real-time process control
IEEE Transactions on Software Engineering - Special issue on reliability and safety in real-time process control
Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
X-Ware Reliability and Availability Modeling
IEEE Transactions on Software Engineering
Concepts of operational software quality metrics
CSC '92 Proceedings of the 1992 ACM annual conference on Communications
Software Reliability Model with Optimal Selection of Failure Data
IEEE Transactions on Software Engineering - Special issue on software reliability
Software Reliability Trend Analyses from Theoretical to Practical Considerations
IEEE Transactions on Software Engineering
A time/structure based software reliability model
Annals of Software Engineering
A Measurement-Based Framework for Software Reliability Improvement
Annals of Software Engineering
Software Reliability Analysis of Three Successive Generations of a Telecommunications System
ASSET '98 Proceedings of the 1998 IEEE Workshop on Application - Specific Software Engineering and Technology
Parameter Estimation of the Manifold Growth Model Using Z-graph
METRICS '96 Proceedings of the 3rd International Symposium on Software Metrics: From Measurement to Empirical Results
Journal of Systems and Software
Reliability estimation for large distributed software systems
CASCON '08 Proceedings of the 2008 conference of the center for advanced studies on collaborative research: meeting of minds
Software reliability analysis and assessment using queueing models with multiple change-points
Computers & Mathematics with Applications
| Hi-index | 0.00 |
An evaluation method which allows existing reliability growth models to provide better predictions of software behavior is presented. The method is primarily based on the analysis of the trend exhibited by the data collected on the program (which is determined by reliability growth tests). Reliability data are then partitioned according to the trend, and two types of reliability growth models can be applied: when the data exhibit reliability decrease followed by reliability growth, an S-shaped model can be applied, and in case of reliability growth, most of the other existing reliability growth models can be applied. The hyperexponential model is shown to allow prediction of the software residual failure rate in operation, and this failure rate is used as a qualification index for the software product. The method is illustrated through its application to the Brazilian electronic switching system TROPICO-R.