A Comparative Landscape Analysis of Fitness Functions for Search-Based Testing

Landscape analysis of fitness functions is an important topic. This paper makes an attempt to characterize the search problems associated with the fitness functions used in search-based testing, employing the following measures: diameter, autocorrelation and fitness distance correlation. In a previo...

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Veröffentlicht in:	Symbolic and Numeric Algorithms for Scientific Computing, Proceedings S. 201 - 208
Hauptverfasser:	Lefticaru, R., Ipate, F.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.09.2008
Schlagworte:	Algorithm design and analysis Application software Automatic testing finite state machines fitness functions Genetic algorithms landscape analysis metaheuristic search techniques Particle swarm optimization Scientific computing Search methods Search problems search-based testing Simulated annealing Software testing
ISBN:	0769535232, 9780769535234
Online-Zugang:	Volltext
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