Markov analysis of software specifications
ACM Transactions on Software Engineering and Methodology (TOSEM)
Statistical testing of software based on a usage model
Software—Practice & Experience
The AETG System: An Approach to Testing Based on Combinatorial Design
IEEE Transactions on Software Engineering
Validation of Scientific Programs
ACM Computing Surveys (CSUR)
The T Experiments: Errors In Scientific Software
IEEE Computational Science & Engineering
JUMBL: A Tool for Model-Based Statistical Testing
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 9 - Volume 9
Accuracy and Reliability in Scientific Computing (Software, Environments, Tools) (Software, Environments, Tools)
Combinatorial Test Case Selection with Markovian Usage Models
ITNG '08 Proceedings of the Fifth International Conference on Information Technology: New Generations
Model-Based statistical testing of a cluster utility
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part I
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An application of a method of test case generation for scientific computational software is presented. NEWTRNX, neutron transport software being developed at Oak Ridge National Laboratory, is treated as a case study. A model of dependencies between input parameters of NEWTRNX is created. Results of NEWTRNX model analysis and test case generation are evaluated.