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Ninth Asian Test Symposium (ATS'00)
Using genetic algorithms for test case generation in path testing
Taipei, Taiwan
December 04-December 06
ISBN: 0-7695-0887-1
ASCII Text
x 
 
Jin-Cherng Lin, Pu-Lin Yeh, "Using genetic algorithms for test case generation in path testing," Asian Test Symposium, pp. 241, Ninth Asian Test Symposium (ATS'00), 2000.
 
 
BibTex
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@article{ 10.1109/ATS.2000.893632,
author = {Jin-Cherng Lin and Pu-Lin Yeh},
title = {Using genetic algorithms for test case generation in path testing},
journal ={Asian Test Symposium},
volume = {0},
year = {2000},
issn = {1081-7735},
pages = {241},
doi = {http://doi.ieeecomputersociety.org/10.1109/ATS.2000.893632},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Asian Test Symposium
TI - Using genetic algorithms for test case generation in path testing
SN - 1081-7735
SP
EP
A1 - Jin-Cherng Lin,
A1 - Pu-Lin Yeh,
PY - 2000
KW - genetic algorithms; automatic test pattern generation; logic testing; real-time systems; genetic algorithms; test case generation; path testing; survival of the fittest theory; operator sequences; program execution; fitness function; SIMILARITY
VL - 0
JA - Asian Test Symposium
ER -
 
Jin-Cherng Lin, Dept. of Comput. Sci. & Eng., Tatung Univ., Taipei, Taiwan
Pu-Lin Yeh, Dept. of Comput. Sci. & Eng., Tatung Univ., Taipei, Taiwan
Generic algorithms are inspired by Darwin's survival of the fittest theory. This paper discusses a genetic algorithm that can automatically generate test cases to test a selected path. This algorithm takes a selected path as a target and executes sequences of operators iteratively for test cases to evolve. The evolved test case can lead the program execution to achieve the target path. A fitness function named SIMILARITY is defined to determine which test case should survive if the final test case has not been found.
Index Terms:
genetic algorithms; automatic test pattern generation; logic testing; real-time systems; genetic algorithms; test case generation; path testing; survival of the fittest theory; operator sequences; program execution; fitness function; SIMILARITY
Citation:
Jin-Cherng Lin, Pu-Lin Yeh, "Using genetic algorithms for test case generation in path testing," ats, pp.241, Ninth Asian Test Symposium (ATS'00), 2000
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