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| Content Provider | ACM Digital Library |
|---|---|
| Author | Xiong, Yingfei Novakovic, Marko WÄ…sowski, Andrzej Czarnecki, Krzysztof Berger, Thorsten Passos, Leonardo |
| Abstract | Many variability modeling tasks can be supported by automated analyses of models. Unfortunately, most analyses for Boolean variability models are NP-hard, while analyses for non-Boolean models easily become undecidable. It is thus crucial to exploit the properties of realistic models to construct viable analysis algorithms. Unfortunately, little work exists about non-Boolean models, and no benchmarks are available for such. We present the non-Boolean aspects of 116 variability models available in the codebase of eCos---a real time embedded operating system. We characterize the types of non-Boolean features in the models, kinds and quantities of non-Boolean constraints in use, and the impact of these characteristics on the hardness of this model from analysis perspective. This way we provide researchers and practitioners with a basis for discussion of relevance of non-Boolean models and their analyses, along with the first ever benchmark for effectiveness of such analyses. |
| Starting Page | 1 |
| Ending Page | 8 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450307895 |
| DOI | 10.1145/2019136.2019139 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2011-08-21 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Automated model analysis Decision models Feature models Variability modeling |
| Content Type | Text |
| Resource Type | Article |
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