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Using exploration f...
Using exploration focused techniques to augment search-based software testing: an experimental evaluation
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- Marculescu, Bogdan, 1984 (författare)
- Blekinge Tekniska Högskola,Institutionen för programvaruteknik
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- Feldt, Robert, 1972 (författare)
- Blekinge Tekniska Högskola,Institutionen för programvaruteknik
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- Torkar, Richard, 1971 (författare)
- Blekinge Tekniska Högskola,Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik (GU),Department of Computer Science and Engineering (GU),Institutionen för programvaruteknik
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(creator_code:org_t)
- ISBN 9781509018277
- IEEE, 2016
- 2016
- Engelska.
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Ingår i: 2016 IEEE International Conference on Software Testing, Verification and Validation (ICST). - : IEEE. - 2381-2834. - 9781509018277 - 9780306406157 ; , s. 69-79
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Abstract
Ämnesord
Stäng
- Search-based software testing (SBST)often uses objective-based approaches to solve testing problems. There are, however, situations where the validity and completeness of objectives cannot be ascertained, or where there is insufficient information to define objectives at all. Incomplete or incorrect objectives may steer the search away from interesting behavior of the software under test (SUT) and from potentially useful test cases.This papers investigates the degree to whichexploration-based algorithms can be used tocomplement an objective-based tool we have previously developed and evaluated in industry. In particular, we would like to assess how exploration-based algorithms perform in situations where little information on the behavior space is available a priori. We have conducted an experiment comparing the performance of an exploration-based algorithm with an objective-based one on a problem with a high dimensional behavior space. In addition, we evaluate to what extent that performance degrades in situations where computational resources are limited.Our experiment shows that exploration-basedalgorithms are useful in covering a larger area of the behavior space and result in a more diverse solution population. Typically, of the candidate solutions that exploration-based algorithms propose, more than 80% were not covered by their objective-based counterpart. This increased diversity is present in the resulting population even when computational resources are limited. We conclude that exploration-focused algorithms are a useful means of investigating high-dimensional spaces, even in situations where limited information and limited resources are available.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Software Engineering (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Electrical & Electronic
- Engineering
- Software Engineering
- Computer Science
- search-based software testing
Publikations- och innehållstyp
- kon (ämneskategori)
- ref (ämneskategori)
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