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2008 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
A Comparative Landscape Analysis of Fitness Functions for Search-Based Testing
Timisoara, Romania
September 26-September 29
ISBN: 978-0-7695-3523-4
ASCII Text
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Raluca Lefticaru, Florentin Ipate, "A Comparative Landscape Analysis of Fitness Functions for Search-Based Testing," Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on, pp. 201-208, 2008 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2008.
 
 
BibTex
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@article{ 10.1109/SYNASC.2008.69,
author = {Raluca Lefticaru and Florentin Ipate},
title = {A Comparative Landscape Analysis of Fitness Functions for Search-Based Testing},
journal ={Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on},
volume = {0},
year = {2008},
isbn = {978-0-7695-3523-4},
pages = {201-208},
doi = {http://doi.ieeecomputersociety.org/10.1109/SYNASC.2008.69},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on
TI - A Comparative Landscape Analysis of Fitness Functions for Search-Based Testing
SN - 978-0-7695-3523-4
SP201
EP208
A1 - Raluca Lefticaru,
A1 - Florentin Ipate,
PY - 2008
KW - search-based testing
KW - finite state machines
KW - metaheuristic search techniques
KW - fitness functions
KW - landscape analysis
VL - 0
JA - Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on
ER -
 
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, employingthe following measures: diameter, autocorrelation and fitness distance correlation.In a previous work, a general form of objective functions for structuralsearch-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.
Index Terms:
search-based testing, finite state machines, metaheuristic search techniques, fitness functions, landscape analysis
Citation:
Raluca Lefticaru, Florentin Ipate, "A Comparative Landscape Analysis of Fitness Functions for Search-Based Testing," synasc, pp.201-208, 2008 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2008
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