Evaluation of competing software reliability predictions
IEEE Transactions on Software Engineering - Special issue on reliability and safety in real-time process control
Recalibrating Software Reliability Models
IEEE Transactions on Software Engineering
Processor Assignment and Execution Sequence for Multiversion Software
IEEE Transactions on Computers
A Critique of Software Defect Prediction Models
IEEE Transactions on Software Engineering
Software reliability and dependability: a roadmap
Proceedings of the Conference on The Future of Software Engineering
Proceedings of the Conference on The Future of Software Engineering
A time/structure based software reliability model
Annals of Software Engineering
A Non-Parametric Approach to Software Reliability Prediction
ISSRE '97 Proceedings of the Eighth International Symposium on Software Reliability Engineering
Some issues in multi-phase software reliability modeling
CASCON '93 Proceedings of the 1993 conference of the Centre for Advanced Studies on Collaborative research: software engineering - Volume 1
Predicting failures of computer systems: a case study for a telecommunication system
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
An approach to software reliability prediction based on time series modeling
Journal of Systems and Software
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Two techniques that analyze prediction accuracy and enhance predictive power of a software reliability model are presented. The u-plot technique detects systematic differences between predicted and observed failure behavior, allowing the recalibration of a software reliability model to obtain more accurate predictions. The perpetual likelihood ratio (PLR) technique compares two models' abilities to predict a particular data source so that the one that has been most accurate over a sequence of predictions can be selected. The application of these techniques is illustrated using three sets of real failure data.