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Towards Execution Time Prediction for Test Cases from Test Specification
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-8724-9049
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-1512-0844
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-1597-6738
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-0611-2655
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(English)In: 43rd Euromicro Conference on Software Engineering and Advanced Applications SEAA'17, Vienna, AustriaConference paper, Published paper (Refereed)
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.

Place, publisher, year, edition, pages
Vienna, Austria.
Keyword [en]
Software TestingOptimizationExecution TimeLinear RegressionNLPTest SpecificationEstimation
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-35512OAI: oai:DiVA.org:mdh-35512DiVA: diva2:1105807
Conference
43rd Euromicro Conference on Software Engineering and Advanced Applications SEAA'17, 30 Aug 2017, Vienna, Austria
Projects
ITS-EASY Post Graduate School for Embedded Software and SystemsTOCSYC - Testing of Critical System Characteristics (KKS)MegaMaRt2 - Megamodelling at Runtime (ECSEL/Vinnova)
Available from: 2017-06-05 Created: 2017-06-05 Last updated: 2017-06-05

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Authority records BETA

Tahvili, SaharSaadatmand, MehrdadBohlin, MarkusAfzal, Wasif

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
  • html
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  • asciidoc
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