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Multi-Objective Metaheuristics permit to conceive a complete novel approach to induce classifiers, where the properties of the rules can be expressed in different objectives, and then the algorithm finds these rules in an unique run by exploring Pareto dominance concepts. Furthermore, these rules can be used as an unordered classifier, in this way, the rules are more intuitive and easier to understand...
The Integration and Test Order problem is very known in the software testing area. It is related to the determination of a test order of modules that minimizes stub creation effort, and consequently testing costs. A solution approach based on Multi-Objective and Evolutionary Algorithms (MOEAs) achieved promising results, since these algorithms allow the use of different factors and measures that can...
Software reliability models are used to estimate the probability of a software fails along the time. They are fundamental to plan test activities and to ensure the quality of the software being developed. Two kind of models are generally used: time or test coverage based models. In our previous work, we successfully explored genetic programming (GP) to derive reliability models. However, nowadays...
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