Certifying the reliability of software
IEEE Transactions on Software Engineering
Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
Modeling software failures and reliability growth during system testing
ICSE '87 Proceedings of the 9th international conference on Software Engineering
Tools for measuring software reliability
IEEE Spectrum
An annotated bibliography of dependable distributed computing
ACM SIGOPS Operating Systems Review
Predicting Software Reliability
Computer
Reliability Measurement: From Theory to Practice
IEEE Software
A replicated empirical study of a selection method for software reliability growth models
Empirical Software Engineering
Software reliability analysis and assessment using queueing models with multiple change-points
Computers & Mathematics with Applications
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The problem of knowing when to stop testing software is considered, focusing on the strategy of stopping when a reliability level or rate of failure occurrence acceptable to the customer is reached. The system's reliability is monitored throughout the system test, and the system is released to the field only when the measured reliability is at or above this objective. This approach was applied to test-failure data collected on Remote Measurement System-Digital 1, a large telecommunications testing system that had already gone through system test and been released to the field. The RMS-D1 failure data, which consisted of command-response errors versus commands executed, had been routinely collected by the system-test organization during testing. The testing phase analyzed, the load test, was an operational-profile-driven test in which a controlled load was imposed on the system reflective of the system's busy-hour usage pattern. It was found to be feasible to apply the reliability-measurement approach in real time, to systems actually undergoing system test, given a controlled load-test environment.