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Published Articles >> Table of Contents >> Abstract
First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007)
pp. 41-50
Assessing, Comparing, and Combining Statechart- based testing and Structural testing: An Experiment
Samar Mouchawrab, Carleton University, Canada
Lionel C. Briand, Carleton University, Canada
Yvan Labiche, Carleton University, Canada
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ESEM.2007.24
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| Abstract |
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Although models have been proven to be helpful in
a number of software engineering activities there is
still significant resistance to model-driven
development. This paper investigates one specific
aspect of this larger problem. It addresses the impact
of using statecharts for testing class clusters that
exhibit a state-dependent behavior. More precisely, it
reports on a controlled experiment that investigates
their impact on testing fault-detection effectiveness.
Code-based, structural testing is compared to
statechart-based testing and their combination is
investigated to determine whether they are
complementary. Results show that there is no
significant difference between the fault detection
effectiveness of the two test strategies but that they are
significantly more effective when combined. This
implies that a cost-effective strategy would specify
statechart-based test cases early on, execute them once
the source code is available, and then complete them
with test cases based on code coverage analysis.
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 Additional Information
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Citation:
Samar Mouchawrab, Lionel C. Briand, Yvan Labiche,
"Assessing, Comparing, and Combining Statechart- based testing and Structural testing: An Experiment,"
esem,
pp. 41-50,
First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007),
2007
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