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Abstract
The increasing size and complexity of feature models (FM) requires the provision of efficient testing and debugging techniques. Feature models can be tested, for example, with regard to their conformance with a pre-defined set of analysis operations. In this paper, we show how the number of consistency checks for FM testing can be reduced on the basis of test case aggregation. Using a divide-and-conquer based approach, we show how to transform a feature model test suite into a corresponding aggregated representation where individual test cases can be combined if specific consistency criteria are fulfilled. Performance improvements are also analyzed on the basis of a best- and worst-case runtime analysis.
Original language | English |
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Title of host publication | 26th ACM International Systems and Software Product Line Conference, SPLC 2022 - Proceedings |
Editors | Alexander Felfernig, Lidia Fuentes, Jane Cleland-Huang, Wesley K.G. Assuncao, Wesley K.G. Assuncao, Clement Quinton, Jianmei Guo, Klaus Schmid, Marianne Huchard, Inmaculada Ayala, Jose Miguel Rojas, Viet-Man Le, Jose Miguel Horcas |
Publisher | Association of Computing Machinery |
Pages | 174-177 |
Number of pages | 4 |
Volume | B |
ISBN (Electronic) | 9781450392068 |
DOIs | |
Publication status | Published - 12 Sept 2022 |
Event | 26th ACM International Systems and Software Product Line Conference: ASPLC 2022 - Graz, Austria Duration: 12 Sept 2022 → 16 Sept 2022 http://2022.splc.net/ |
Conference
Conference | 26th ACM International Systems and Software Product Line Conference |
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Abbreviated title | SPLC'22 |
Country/Territory | Austria |
City | Graz |
Period | 12/09/22 → 16/09/22 |
Internet address |
Keywords
- testing and debugging
- variability modeling
ASJC Scopus subject areas
- Software
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Test case aggregation for efficient feature model testing
Viet Man Le (Speaker)
13 Sept 2022Activity: Talk or presentation › Talk at conference or symposium › Science to science