Application of Evolutionary Algorithms for Optimization of Regression Suites

Kód výsledku v IS VaVaI

RIV/00216305:26230/15:PU117006 - isvavai.cz

Výsledek na webu

http://dx.doi.org/10.1109/DDECS.2015.42

DOI - Digital Object Identifier

10.1109/DDECS.2015.42

Jazyk výsledku

angličtina

Název v původním jazyce

Application of Evolutionary Algorithms for Optimization of Regression Suites

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Application of Evolutionary Algorithms for Optimization of Regression Suites

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

ED1.1.00/02.0070: Centrum excelence IT4Innovations

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

IEEE 18th International Symposium on Design and Diagnostics of Electronic Circuits and Systems

ISBN

978-1-4799-6779-7

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

91-94

Název nakladatele

IEEE Computer Society

Místo vydání

Belgrade

Místo konání akce

Belgrade

Datum konání akce

22. 4. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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