Synthesizing test scenarios in UML activity diagram using a bio-inspired approach

•We applied biologically inspired algorithm for test scenario generation in UML activity diagram.•Amoeboid organism algorithm is better as compare to its peer approaches like genetic algorithm, ant colony meta-heuristic.•For large search spaces, the amoeboid organism algorithm works better when comp...

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Veröffentlicht in:	Computer languages, systems & structures Jg. 50; S. 1 - 19
Hauptverfasser:	Arora, Vinay, Bhatia, Rajesh, Singh, Maninder
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.12.2017
Schlagworte:	Amoeboid organism Bio-inspired algorithm Computational intelligence Concurrency Test scenario generation UML activity diagram Amoeboid organism Test scenario generation UML activity diagram Concurrency Computational intelligence Bio-inspired algorithm
ISSN:	1477-8424, 1873-6866
Online-Zugang:	Volltext
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