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KEKELYOVÁ, M. ZACHARIÁŠOVÁ, M. KOTÁSEK, Z. HRUŠKA, T.
Originální název
Application of Evolutionary Algorithms for Optimization of Regression Suites
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
genetic algorithm optimization regression tests
Autoři
KEKELYOVÁ, M.; ZACHARIÁŠOVÁ, M.; KOTÁSEK, Z.; HRUŠKA, T.
Rok RIV
2015
Vydáno
22. 4. 2015
Nakladatel
IEEE Computer Society
Místo
Belgrade
ISBN
978-1-4799-6779-7
Kniha
IEEE 18th International Symposium on Design and Diagnostics of Electronic Circuits and Systems
Strany od
91
Strany do
94
Strany počet
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" }