Publication | Closed Access
Modeling and Analysis of Correlated Software Failures of Multiple Types
90
Citations
15
References
2005
Year
Software MaintenanceSoftware Reliability TestingEngineeringSoftware EngineeringSystem ReliabilitySoftware AnalysisReliability EngineeringFailure AnalysisSystems EngineeringReliability ModelingCorrelated Software FailuresFailure DetectionDependability AnalysisReliabilitySoftware ReliabilitySuccessive SoftwareDependability ModellingSoftware DesignSuccessive Software RunsReliability ModellingProgram AnalysisSoftware TestingReliability ManagementFormal MethodsReliability GrowthFault InjectionSystem Software
Most software reliability models assume independence of successive software runs. It is a strict assumption, and usually not valid in reality. Goseva-Popstojanova & Trivedi (2000) presented an interesting study on failure correlation among successive software runs. In this paper, by extending their results, a software reliability model is developed based on a Markov renewal process for the modeling of the dependence among successive software runs, where more than one type of failure is allowed in general formulation. Meanwhile, the cases of restarting with repair, and without repair, are considered. Although such a model is more complex than the traditional approach based on reliability growth, it incorporates more information about the failures, and system structure. A numerical example is also shown to illustrate the procedure, and provide some comparison.
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