Usage model-based automated testing of C++ templates
A-MOST '05 Proceedings of the 1st international workshop on Advances in model-based testing
A subset of precise UML for model-based testing
Proceedings of the 3rd international workshop on Advances in model-based testing
Sequence-based specification of feedback control systems in Simulink®
CASCON '07 Proceedings of the 2007 conference of the center for advanced studies on Collaborative research
Modeling Input Space for Testing Scientific Computational Software: A Case Study
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part III
Using partial models to support the testing of distributed systems
SEA '07 Proceedings of the 11th IASTED International Conference on Software Engineering and Applications
A comfortable testplayer for analyzing statistical usage testing strategies
Proceedings of the 6th International Workshop on Automation of Software Test
Model-Based statistical testing of a cluster utility
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part I
A taxonomy of model-based testing approaches
Software Testing, Verification & Reliability
Towards recognizing and rewarding efficient developer work patterns
Proceedings of the 2013 International Conference on Software Engineering
Software testing with an operational profile: OP definition
ACM Computing Surveys (CSUR)
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Statistical testing of software based on a usage model is a cost-effective and efficient means to make inferences about software quality. In order to apply this method, a usage model is developed and analyzed to validate its fitness for use in testing. The model may then be used to generate test cases representing expected usage, and to reason about system reliability given the performance on the set of tests. The J Usage Model Builder Library (JUMBL) is aJava class library and set of command-line tools for working with usage models. The JUMBL supports construction and analysis of models, generation of test cases, automated execution of tests, and analysis of testing results.