Search: onr:"swepub:oai:research.chalmers.se:a5c82266-56f1-4d48-a947-c1bb9de11a6f" >
Visualizing test di...
Visualizing test diversity to support test optimisation
-
- Gomes, Francisco, 1987 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik, Software Engineering (GU),Institutionen för data- och informationsteknik, Software Engineering (GU)
-
- Feldt, Robert, 1972 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik, Software Engineering (GU),Institutionen för data- och informationsteknik, Software Engineering (GU)
-
- Erlenhov, Linda, 1979 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik, Software Engineering (GU),Institutionen för data- och informationsteknik, Software Engineering (GU)
-
show more...
-
- Nunes, Jose Benardi De Souza (author)
- Universidade Federal de Campina Grande,Federal University of Campina Grande
-
show less...
-
(creator_code:org_t)
- ISBN 9781728119700
- 2018
- 2018
- English.
-
In: Proceedings - Asia-Pacific Software Engineering Conference, APSEC. - 1530-1362. - 9781728119700 ; 2018-December
- Related links:
-
https://research.cha...
-
show more...
-
https://doi.org/10.1...
-
https://research.cha...
-
https://gup.ub.gu.se...
-
show less...
Abstract
Subject headings
Close
- Diversity has been used as an effective criteria to optimise test suites for cost-effective testing. Particularly, diversity-based (alternatively referred to as similarity-based) techniques have the benefit of being generic and applicable across different Systems Under Test (SUT), and have been used to automatically select or prioritise large sets of test cases. However, it is a challenge to feedback diversity information to developers and testers since results are typically many-dimensional. Furthermore, the generality of diversity-based approaches makes it harder to choose when and where to apply them. In this paper we address these challenges by investigating: i) what are the trade-off in using different sources of diversity (e.g., diversity of test requirements or test scripts) to optimise large test suites, and ii) how visualisation of test diversity data can assist testers for test optimisation and improvement. We perform a case study on three industrial projects and present quantitative results on the fault detection capabilities and redundancy levels of different sets of test cases. Our key result is that test similarity maps, based on pair-wise diversity calculations, helped industrial practitioners identify issues with their test repositories and decide on actions to improve. We conclude that the visualisation of diversity information can assist testers in their maintenance and optimisation activities.
Subject headings
- 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)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
Keyword
- Software Testing
- Search- based Software Testing
- Diversity
- Empirical Study
- Software Testing
- Diversity
- Search-based Software Testing
- Empirical Study
Publication and Content Type
- kon (subject category)
- ref (subject category)
Find in a library
To the university's database