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Test Case Selection
Multi-objective Test Case Selection Through Linkage Learning-driven Crossover
Abstract Test case selection (TCS) aims to select a subset of the test suite to run for regression testing. The selection is typically based on past coverage and execution cost data.
Mitchell Olsthoorn
,
Annibale Panichella
Improving Multi-Objective Search Based Test Suite Optimization through Diversity Injection
Abstract: A way to reduce the cost of regression testing consists of selecting or prioritizing subsets of test cases from a test suite according to some criteria. Besides greedy algorithms, cost cognizant additional greedy algorithms, multi-objective optimization algorithms, and multi-objective genetic algorithms (MOGAs), have also been proposed to tackle this problem.
Annibale Panichella
,
Rocco Oliveto
,
Massimiliano di Penta
,
Andrea De Lucia
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