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Automatic Test Case Optimization: A Bacteriologic Algorithm
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MS.2005.30March/April 2005 (vol. 22 no. 2) pp. 76-82
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Benoit Baudry, Franck Fleurey, Jean-Marc J?z?quel, Yves Le Traon, "Automatic Test Case Optimization: A Bacteriologic Algorithm," IEEE Software, vol. 22, no. 2, pp. 76-82, March/April, 2005.
 
 
BibTex
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@article{ 10.1109/MS.2005.30,
author = {Benoit Baudry and Franck Fleurey and Jean-Marc J?z?quel and Yves Le Traon},
title = {Automatic Test Case Optimization: A Bacteriologic Algorithm},
journal ={IEEE Software},
volume = {22},
number = {2},
issn = {0740-7459},
year = {2005},
pages = {76-82},
doi = {http://doi.ieeecomputersociety.org/10.1109/MS.2005.30},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Software
TI - Automatic Test Case Optimization: A Bacteriologic Algorithm
IS - 2
SN - 0740-7459
SP76
EP82
EPD - 76-82
A1 - Benoit Baudry,
A1 - Franck Fleurey,
A1 - Jean-Marc J?z?quel,
A1 - Yves Le Traon,
PY - 2005
KW - evolutionary computing
KW - genetic algorithms
KW - object-oriented programming
KW - test design
VL - 22
JA - IEEE Software
ER -
 
Finding the best test cases for software component testing can be expensive and labor intensive.A bacteriological algorithm can automatically generate and optimize test cases.
Index Terms:
evolutionary computing, genetic algorithms, object-oriented programming, test design
Citation:
Benoit Baudry, Franck Fleurey, Jean-Marc J?z?quel, Yves Le Traon, "Automatic Test Case Optimization: A Bacteriologic Algorithm," IEEE Software, vol. 22, no. 2, pp. 76-82, Mar./Apr. 2005, doi:10.1109/MS.2005.30
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