Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
Reliability of Systems with Markov Transfer of Control
IEEE Transactions on Software Engineering
Handbook of software reliability engineering
Handbook of software reliability engineering
Operational Profiles in Software-Reliability Engineering
IEEE Software
Synthesis of Behavioral Models from Scenarios
IEEE Transactions on Software Engineering
Scenario-Based Reliability Analysis of Component-Based Software
ISSRE '99 Proceedings of the 10th International Symposium on Software Reliability Engineering
Incremental elaboration of scenario-based specifications and behavior models using implied scenarios
ACM Transactions on Software Engineering and Methodology (TOSEM)
Using scenarios to predict the reliability of concurrent component-based software systems
FASE'05 Proceedings of the 8th international conference, held as part of the joint European Conference on Theory and Practice of Software conference on Fundamental Approaches to Software Engineering
Global Sensitivity Analysis of Predictor Models in Software Engineering
PROMISE '07 Proceedings of the Third International Workshop on Predictor Models in Software Engineering
Using sensitivity analysis to create simplified economic models for regression testing
ISSTA '08 Proceedings of the 2008 international symposium on Software testing and analysis
Reliability prediction in model-driven development
MoDELS'05 Proceedings of the 8th international conference on Model Driven Engineering Languages and Systems
Exact scalable sensitivity analysis for the next release problem
ACM Transactions on Software Engineering and Methodology (TOSEM)
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As a popular means for capturing behavioural requirements, scenarios show how components interact to provide system-level functionality. If component reliability information is available, scenarios can be used to perform early system reliability assessment. In previous work we presented an automated approach for predicting software system reliability that extends a scenario specification to model (1) the probability of component failure, and (2) scenario transition probabilities. Probabilistic behaviour models of the system are then synthesized from the extended scenario specification. From the system behaviour model, reliability prediction can be computed. This paper complements our previous work and presents a sensitivity analysis that supports reasoning about how component reliability and usage profiles impact on the overall system reliability. For this purpose, we present how the system reliability varies as a function of the components reliabilities and the scenario transition probabilities. Taking into account the concurrent nature of component-based software systems, we also analyse the effect of implied scenarios prevention into the sensitivity analysis of our reliability prediction technique.