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Towards Execution Time Prediction for Test Cases from Test Specification
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- Tahvili, Sahar (author)
- Mälardalens högskola,RISE,SICS,Inbyggda system
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- Saadatmand, Mehrdad (author)
- Mälardalens högskola,RISE,SICS,Inbyggda system
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- Bohlin, Markus (author)
- Mälardalens högskola,RISE,SICS,Inbyggda system
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- (creator_code:org_t)
- Vienna, Austria, 2017
- 2017
- English.
- In: 2017 43RD EUROMICRO CONFERENCE ON SOFTWARE ENGINEERING AND ADVANCED APPLICATIONS (SEAA). - Vienna, Austria. - 9781538621417 ; , s. 421-425
- Conference paper (peer-reviewed)
Abstract
Subject headings
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- 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.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
Keyword
- Estimation
- Execution time
- Linear Regression
- NLP
- Optimization
- Software Testing
- Test Specification
Publication and Content Type
- ref (subject category)
- kon (subject category)
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- NATURAL SCIENCES
- NATURAL SCIENCES
- and Computer and Inf ...
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- ENGINEERING AND TECHNOLOGY
- ENGINEERING AND ...
- and Electrical Engin ...
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- Mälardalen University
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