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KEKELYOVÁ, M. ZACHARIÁŠOVÁ, M. KOTÁSEK, Z. HRUŠKA, T.
Original Title
Application of Evolutionary Algorithms for Optimization of Regression Suites
Type
conference paper
Language
English
Original Abstract
Regression test suites are necessary to ensure that changes to the system made after bug fixes or reimplementation have not broken the intended functionality. However, because of the complexity of current hardware systems, it is desirable to have optimized regression suites that provide the highest verification coverage with minimal simulation time and resources. In this paper, we introduce a coverage-directed optimization algorithm for creating optimized regression suites from verification stimuli that were evaluated in simulation-based verification environment. The results of our experiments show that the quality and the size of the final regression suites are significantly improved in comparison to the original test suit. For our experimental system, we were able to eliminate 94.4% redundant stimuli from the original test suite while retaining the same level of functional coverage.
Keywords
genetic algorithm optimization regression tests
Authors
KEKELYOVÁ, M.; ZACHARIÁŠOVÁ, M.; KOTÁSEK, Z.; HRUŠKA, T.
RIV year
2015
Released
22. 4. 2015
Publisher
IEEE Computer Society
Location
Belgrade
ISBN
978-1-4799-6779-7
Book
IEEE 18th International Symposium on Design and Diagnostics of Electronic Circuits and Systems
Pages from
91
Pages to
94
Pages count
4
BibTex
@inproceedings{BUT119863, author="Michaela {Belešová} and Marcela {Zachariášová} and Zdeněk {Kotásek} and Tomáš {Hruška}", title="Application of Evolutionary Algorithms for Optimization of Regression Suites", booktitle="IEEE 18th International Symposium on Design and Diagnostics of Electronic Circuits and Systems", year="2015", pages="91--94", publisher="IEEE Computer Society", address="Belgrade", doi="10.1109/DDECS.2015.42", isbn="978-1-4799-6779-7" }