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Efficient Test Data Generation for Variables with Complex Dependencies
April 09-April 11
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICST.2008.102008 International Conference on Soft ...
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Armin Beer, Stefan Mohacsi, "Efficient Test Data Generation for Variables with Complex Dependencies," Software Testing, Verification, and Validation, 2008 International Conference on, pp. 3-11, 2008 International Conference on Software Testing, Verification, and Validation, 2008.
 
 
BibTex
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@article{ 10.1109/ICST.2008.10,
author = {Armin Beer and Stefan Mohacsi},
title = {Efficient Test Data Generation for Variables with Complex Dependencies},
journal ={Software Testing, Verification, and Validation, 2008 International Conference on},
volume = {0},
year = {2008},
isbn = {978-0-7695-3127-4},
pages = {3-11},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICST.2008.10},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Software Testing, Verification, and Validation, 2008 International Conference on
TI - Efficient Test Data Generation for Variables with Complex Dependencies
SN - 978-0-7695-3127-4
SP3
EP11
A1 - Armin Beer,
A1 - Stefan Mohacsi,
PY - 2008
KW - Test Data Generation
KW - Multi-dimensional equivalence partitions
KW - Cause-effect analysis
KW - CECIL method
VL - 0
JA - Software Testing, Verification, and Validation, 2008 International Conference on
ER -
 
This paper introduces a new method for generating test data that combines the benefits of equivalence partitioning, boundary value analysis and cause-effect analysis. It is suitable for problems involving complex linear dependencies between two or more variables. The method aims at covering all semantic dependencies plus all (n-dimensional) boundaries with a minimum set of test data.To overcome the mathematical complexity of the method, a main goal of the research project was to develop a user-friendly tool that allows users to specify dependencies in a simple language and generates appropriate test data automatically. The tool has been incorporated into the IDATG (Integrating Design and Automated Test case Generation) tool-set and validated in a number of case studies.
Index Terms:
Test Data Generation, Multi-dimensional equivalence partitions, Cause-effect analysis, CECIL method
Citation:
Armin Beer, Stefan Mohacsi, "Efficient Test Data Generation for Variables with Complex Dependencies," icst, pp.3-11, 2008 International Conference on Software Testing, Verification, and Validation, 2008
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