Abstract
| Original language | English |
|---|---|
| Title of host publication | Second International Workshop on Variability Modelling of Software-intensive Systems. Proceedings |
| Editors | Patrick Heymans, Kyo-Chul Kang, Andreas Metzger, Klaus Pohl |
| Pages | 89-96 |
| Publication status | Published - 2008 |
| MoE publication type | A3 Part of a book or another research book |
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Svamp - An integrated approach for modeling functional and quality variability. / Raatikainen, Mikko; Niemelä, Eila; Myllärniemi, Varvana; Männistö, Tomi.
Second International Workshop on Variability Modelling of Software-intensive Systems. Proceedings. ed. / Patrick Heymans; Kyo-Chul Kang; Andreas Metzger; Klaus Pohl. 2008. p. 89-96.Research output: Chapter in Book/Report/Conference proceeding › Chapter or book article › Scientific › peer-review
TY - CHAP
T1 - Svamp - An integrated approach for modeling functional and quality variability
AU - Raatikainen, Mikko
AU - Niemelä, Eila
AU - Myllärniemi, Varvana
AU - Männistö, Tomi
PY - 2008
Y1 - 2008
N2 - Software variability modeling is a complex task. To manage this complexity, we introduce an approach called Svamp. The main contribution of Svamp is to model concepts through ontologies and offer tool support for capturing functional and quality variability in software product family architectures. Variability description languages are defined by different ontologies that provide meta-models. For structural and functional descriptions, the concepts, properties, and rules are defined by Kumbang ontology. Quality Attribute ontology defines the domain knowledge of a specific quality attribute, while Quality Variability ontology provides the concepts and rules related to quality variation. The approach is exemplified by our integrated tool suite, provided as a plug-in for the Eclipse platform.
AB - Software variability modeling is a complex task. To manage this complexity, we introduce an approach called Svamp. The main contribution of Svamp is to model concepts through ontologies and offer tool support for capturing functional and quality variability in software product family architectures. Variability description languages are defined by different ontologies that provide meta-models. For structural and functional descriptions, the concepts, properties, and rules are defined by Kumbang ontology. Quality Attribute ontology defines the domain knowledge of a specific quality attribute, while Quality Variability ontology provides the concepts and rules related to quality variation. The approach is exemplified by our integrated tool suite, provided as a plug-in for the Eclipse platform.
M3 - Chapter or book article
SP - 89
EP - 96
BT - Second International Workshop on Variability Modelling of Software-intensive Systems. Proceedings
A2 - Heymans, Patrick
A2 - Kang, Kyo-Chul
A2 - Metzger, Andreas
A2 - Pohl, Klaus
ER -