Monte Carlo methods. Vol. 1: basics
Monte Carlo methods. Vol. 1: basics
Information Processing Letters
Cleanroom Software Development: An Empirical Evaluation
IEEE Transactions on Software Engineering
An Extended Domain-Based Model of Software Reliability
IEEE Transactions on Software Engineering
Theoretical comparison of testing methods
TAV3 Proceedings of the ACM SIGSOFT '89 third symposium on Software testing, analysis, and verification
Software testing techniques (2nd ed.)
Software testing techniques (2nd ed.)
Comparison of program testing strategies
TAV4 Proceedings of the symposium on Testing, analysis, and verification
Estimating the Probability of Failure When Testing Reveals No Failures
IEEE Transactions on Software Engineering
Software failure risk: measurement and management
Software failure risk: measurement and management
The Infeasibility of Quantifying the Reliability of Life-Critical Real-Time Software
IEEE Transactions on Software Engineering
ESEC '89 Proceedings of the 2nd European Software Engineering Conference
On random and partition testing
Proceedings of the 1998 ACM SIGSOFT international symposium on Software testing and analysis
Partition Testing vs. Random Testing: The Influence of Uncertainty
IEEE Transactions on Software Engineering
On Comparisons of Random, Partition, and Proportional Partition Testing
IEEE Transactions on Software Engineering
Difficulties Measuring Software Risk in an Industrial Environment
DSN '01 Proceedings of the 2001 International Conference on Dependable Systems and Networks (formerly: FTCS)
Formal analysis of the effectiveness and predictability of random testing
Proceedings of the 19th international symposium on Software testing and analysis
Towards a software failure cost impact model for the customer: an analysis of an open source product
Proceedings of the 6th International Conference on Predictive Models in Software Engineering
A systematic literature review of software quality cost research
Journal of Systems and Software
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In this article, we generalize the input-domain based software reliability measures by Nelson and by Weiss and Weyuker, introducing expected failure costs under the operational distribution as a measure for software unreliability. This approach incorporates in the reliability concept a distinction between different degrees of failure severity. It is shown how to estimate the proposed quantity by means of random testing, using the Importance Sampling technique from Rare Event Simulation. A test input distribution that yields an unbiased estimator with minimum variance is determined. The practical application of the presented method is outlined, and a detailed numerical example is given.