Automated Test Case Generation as a Many-Objective Optimisation Problem with Dynamic Selection of the Targets

The test case generation is intrinsically a multi-objective problem, since the goal is covering multiple test targets (e.g., branches). Existing search-based approaches either consider one target at a time or aggregate all targets into a single fitness function (whole-suite approach). Multi and many...

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Veröffentlicht in:	IEEE transactions on software engineering Jg. 44; H. 2; S. 122 - 158
Hauptverfasser:	Panichella, Annibale, Kifetew, Fitsum Meshesha, Tonella, Paolo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.02.2018 IEEE Computer Society
Schlagworte:	Algorithm design and analysis Algorithms automatic test case generation Classification Dependence Evolutionary testing Fitness Genetic algorithms Heuristic algorithms many-objective optimisation Multiple objective analysis Mutation Optimization Software algorithms Sorting Sorting algorithms Testing
ISSN:	0098-5589, 1939-3520
Online-Zugang:	Volltext
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