Proposed structure for decomposition software reliability prediction model
Information and Software Technology - Software quality assurance
Estimating the Probability of Failure When Testing Reveals No Failures
IEEE Transactions on Software Engineering
New statistics for demand-based software testing
Information Processing Letters
Handbook of software reliability engineering
Handbook of software reliability engineering
Operational Profiles in Software-Reliability Engineering
IEEE Software
Reliability estimation from appropriate testing of plant protection software
Reliability estimation from appropriate testing of plant protection software
Hardware-Related Software Errors: Measurement and Analysis
IEEE Transactions on Software Engineering
Theory of software reliability based on components
ICSE '01 Proceedings of the 23rd International Conference on Software Engineering
Modular Operational Test Plans for Inferences on Software Reliability Based on a Markov Model
IEEE Transactions on Software Engineering
Scenario-Based System Assessment
Ada Europe '01 Proceedings of the 6th Ade-Europe International Conference Leuven on Reliable Software Technologies
The Effectiveness of Statistical Testing when Applied to Logic Systems
SAFECOMP '01 Proceedings of the 20th International Conference on Computer Safety, Reliability and Security
Formal Limits on Determining Reliabilities of Component-Based Software Systems
ISSRE '00 Proceedings of the 11th International Symposium on Software Reliability Engineering
Finding upper bounds for software failure probabilities – experiments and results
SAFECOMP'05 Proceedings of the 24th international conference on Computer Safety, Reliability, and Security
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Following the current trend towards an increased use of Commercial Off The Shelf (COTS) components in safety critical systems, the need arises to address safety issues related to COTS--based systems. In this paper we introduce a hierarchical model to estimate the probability of failure on demand of a software system consisting of components.Thereby evidence available on the components' failure behaviour is combined using a Bayesian approach. An additive term is proposed to model the changes in the component prior reliability once a component is transferred from the operational environment assumed by the software developer into the actual operating environment. Statistical system test (SST) data are incorporated to calculate the estimator of the system failure rate. This approach involves prior knowledge at the level where it is most likely to be available: the component level.