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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| Vydané v: | Symbolic and Numeric Algorithms for Scientific Computing, Proceedings s. 201 - 208 |
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| Hlavní autori: | , |
| Médium: | Konferenčný príspevok.. |
| Jazyk: | English |
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IEEE
01.09.2008
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| ISBN: | 0769535232, 9780769535234 |
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| Abstract | 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 previous work, a general form of objective functions for structural search-based software testing was tailored for state-based testing. A comparison is performed in this paper between the general fitness functions and some problem-specific fitness functions, taking into account their performance with different search methods. |
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| AbstractList | 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 previous work, a general form of objective functions for structural search-based software testing was tailored for state-based testing. A comparison is performed in this paper between the general fitness functions and some problem-specific fitness functions, taking into account their performance with different search methods. |
| Author | Lefticaru, R. Ipate, F. |
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| Snippet | Landscape analysis of fitness functions is an important topic. This paper makes an attempt to characterize the search problems associated with the fitness... |
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| SubjectTerms | 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 |
| Title | A Comparative Landscape Analysis of Fitness Functions for Search-Based Testing |
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