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Towards Execution Time Prediction for Test Cases from Test Specification
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0002-8724-9049
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0002-1512-0844
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0003-1597-6738
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0003-0611-2655
Vise andre og tillknytning
2017 (engelsk)Inngår i: 2017 43RD EUROMICRO CONFERENCE ON SOFTWARE ENGINEERING AND ADVANCED APPLICATIONS (SEAA), Vienna, Austria, 2017, s. 421-425Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Knowing the execution time of test cases is important to perform test scheduling, prioritization and progress monitoring. This short paper presents a novel approach for predicting the execution time of test cases based on test specifications and available historical data on previously executed test cases. Our approach works by extracting timing information (measured and maximum execution time) for various steps in manual test cases. This information is then used to estimate the maximum time for test steps that have not previously been executed, but for which textual specifications exist. As part of our approach natural language parsing of the specifications is performed to identify word combinations to check whether existing timing information on various test activities already exists or not. Finally, linear regression is used to predict the actual execution time for test cases. A proof-of-concept use-case at Bombardier transportation serves to evaluate the proposed approach.

sted, utgiver, år, opplag, sider
Vienna, Austria, 2017. s. 421-425
Emneord [en]
Software TestingOptimizationExecution TimeLinear RegressionNLPTest SpecificationEstimation
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Identifikatorer
URN: urn:nbn:se:mdh:diva-35512DOI: 10.1109/SEAA.2017.10ISI: 000426074600062ISBN: 978-1-5386-2141-7 (tryckt)OAI: oai:DiVA.org:mdh-35512DiVA, id: diva2:1105807
Konferanse
43rd Euromicro Conference on Software Engineering and Advanced Applications SEAA'17, 30 Aug 2017, Vienna, Austria
Prosjekter
ITS-EASY Post Graduate School for Embedded Software and SystemsTOCSYC - Testing of Critical System Characteristics (KKS)MegaMaRt2 - Megamodelling at Runtime (ECSEL/Vinnova)Tilgjengelig fra: 2017-06-05 Laget: 2017-06-05 Sist oppdatert: 2018-03-15bibliografisk kontrollert

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Tahvili, SaharSaadatmand, MehrdadBohlin, MarkusAfzal, Wasif

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