Journal of Electronic Testing: Theory and Applications
Bayesian Graphical Models for Software Testing
IEEE Transactions on Software Engineering
Test-Suite Reduction for Model Based Tests: Effects on Test Quality and Implications for Testing
Proceedings of the 19th IEEE international conference on Automated software engineering
A comparative survey of scenario-based to state-based model synthesis approaches
Proceedings of the 2006 international workshop on Scenarios and state machines: models, algorithms, and tools
Generating a Test Strategy with Bayesian Networks and Common Sense
TAIC-PART '06 Proceedings of the Testing: Academic & Industrial Conference on Practice And Research Techniques
Towards Good Enough Testing: A Cognitive-Oriented Approach Applied to Infotainment Systems
ASE '08 Proceedings of the 2008 23rd IEEE/ACM International Conference on Automated Software Engineering
Classification methods and inductive learning rules: what we may learn from theory
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Minerva: Sequential Covering for Rule Extraction
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A new methodology of extraction, optimization and application of crisp and fuzzy logical rules
IEEE Transactions on Neural Networks
Survey of clustering algorithms
IEEE Transactions on Neural Networks
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Evolutionary multiobjective optimization (EMO) is an active research area in the field of evolutionary computation. EMO algorithms are designed to find a non-dominated solution set that approximates the entire Pareto front of a multiobjective optimization ...