Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
Partition Testing Does Not Inspire Confidence (Program Testing)
IEEE Transactions on Software Engineering
Handbook of software reliability engineering
Handbook of software reliability engineering
Handbook of software reliability engineering
Coverage measurement experience during function test
ICSE '93 Proceedings of the 15th international conference on Software Engineering
Modeling software reliability during non-operational testing
Modeling software reliability during non-operational testing
Software Reliability Engineered Testing
Software Reliability Engineered Testing
Operational Profiles in Software-Reliability Engineering
IEEE Software
Resource-Constrained Non-Operational Testing of Software
ISSRE '98 Proceedings of the The Ninth 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
Long-Term Testing in a Short-Term World
IEEE Software
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"Classical" operational-profile based testing strategies tend to advocate testing of product functions and operations according to the relative frequencies of their usage in the field. As such these strategies tend to explicitly or implicitly advocate re-execution of previously "covered" elements. This provides a built-in mechanism for letting the testers know that they are doing well through the resulting declining failure intensity.Unfortunately, in modern resource constrained software testing environments, the re-execution of functions that have already been tested is often discourage by business models that operate with limited budget and schedule. Consequently, in Resource Constrained Testing (RCT) environments failure intensity decay is open to interpretation, and may be an impractical guiding and decision tool.We present an approach based on the Testing Efficiency (TE) Metric that, for RCT environments, may be a more appropriate testing decision support aide. We also present supporting results from simulations, experiments and field application of the TE metric..