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Seventh International Conference on Quality Software (QSIC 2007)
An Effective Iterative Metamorphic Testing Algorithm Based on Program Path Analysis
Portland, Oregon, USA
October 11-October 12
ISBN: 0-7695-3035-4
ASCII Text
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Guowei Dong, Changhai Nie, Baowen Xu, Lulu Wang, "An Effective Iterative Metamorphic Testing Algorithm Based on Program Path Analysis," Quality Software, International Conference on, pp. 292-297, Seventh International Conference on Quality Software (QSIC 2007), 2007.
 
 
BibTex
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@article{ 10.1109/QSIC.2007.15,
author = {Guowei Dong and Changhai Nie and Baowen Xu and Lulu Wang},
title = {An Effective Iterative Metamorphic Testing Algorithm Based on Program Path Analysis},
journal ={Quality Software, International Conference on},
volume = {0},
year = {2007},
issn = {1550-6002},
pages = {292-297},
doi = {http://doi.ieeecomputersociety.org/10.1109/QSIC.2007.15},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Quality Software, International Conference on
TI - An Effective Iterative Metamorphic Testing Algorithm Based on Program Path Analysis
SN - 1550-6002
SP292
EP297
A1 - Guowei Dong,
A1 - Changhai Nie,
A1 - Baowen Xu,
A1 - Lulu Wang,
PY - 2007
VL - 0
JA - Quality Software, International Conference on
ER -
 
Guowei Dong, Southeast University, China
Changhai Nie, Southeast University, China
Baowen Xu, Southeast University, China
Lulu Wang, Southeast University, China
Metamorphic testing(MT) is very practical and effective for programs with oracle problems, and many researches have been done in this field. In this article, we present a new iterative MT algorithm, APCEMSI, to avoid the blindness of existing MT methods. The test suites generated by APCEMSI satisfy a criterion which is defined upon program path analysis technique. Experiment result shows that APCEMSI could find errors effectively with much fewer test cases.
Citation:
Guowei Dong, Changhai Nie, Baowen Xu, Lulu Wang, "An Effective Iterative Metamorphic Testing Algorithm Based on Program Path Analysis," qsic, pp.292-297, Seventh International Conference on Quality Software (QSIC 2007), 2007
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