Publication Details
Application of Evolutionary Algorithms for Optimization of Regression Suites
Zachariášová Marcela, Ing., Ph.D. (DCSY)
Kotásek Zdeněk, doc. Ing., CSc.
Hruška Tomáš, prof. Ing., CSc. (DIFS)
genetic algorithm
optimization
regression tests
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.
@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"
}