Testing software modelling tools using data mutation
Proceedings of the 2006 international workshop on Automation of software test
Calculating the usage probabilities of statistical usage models by constraints optimization
Proceedings of the 5th Workshop on Automation of Software Test
Electronic Notes in Theoretical Computer Science (ENTCS)
A systematic testing approach for autonomousm mobile robots using domain-specific languages
KI'10 Proceedings of the 33rd annual German conference on Advances in artificial intelligence
A comfortable testplayer for analyzing statistical usage testing strategies
Proceedings of the 6th International Workshop on Automation of Software Test
An approach to defining requirements for exceptions
Advanced Topics in Exception Handling Techniques
Veritas - a versatile modeling environment for test-driven agile simulation
Proceedings of the Winter Simulation Conference
Model-Based Testing of Highly Configurable Embedded Systems in the Automation Domain
International Journal of Embedded and Real-Time Communication Systems
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Model-based testing using Markov chain usage models provides a powerful way to address testing concerns. Unfortunately, the use of Markov chain usage models on systems which have multiple streams of control, or which have many modeless dialogs, has required approaches which limit automated testing (strong abstractions) or make models difficult to analyze (notations hiding a state explosion). This paper presents a new approach which relies on applying concurrency operators to the test cases generated from simple Markov chain usage models to create sophisticated test cases. This approach leverages existing tools and notations.