Samenvatting
Feature modeling is a widely accepted variability modeling technique for supporting decision-making scenarios, by representing decisions as features. However, there are scenarios where domain concepts have multiple implementation alternatives that have to be analyzed from large-scale data sources. Therefore, a manual selection of an optimal solution from within the alternatives space or even the complete representation of the domain is an unsuitable task. To solve this issue, we created a feature modeling metamodel and two specific processes to represent domain and implementation alternative models, and to search for optimal solutions whilst considering a set of optimization objectives. We applied this approach to a cloud computing case study and obtained an optimal provider configuration for deploying a JEE application. © Springer International Publishing AG 2016.
Originele taal-2 | Engels |
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Titel | Advances in Conceptual Modeling |
Subtitel | ER 2016 Workshops, AHA, MoBiD, MORE-BI, MReBA, QMMQ, SCME, and WM2SP, Gifu, Japan, November 14–17, 2016, Proceedings |
Redacteuren | S. Link, J.C. Trujillo |
Plaats van productie | Dordrecht |
Uitgeverij | Springer |
Pagina's | 65-75 |
Aantal pagina's | 11 |
ISBN van elektronische versie | 978-3-319-47717-6 |
ISBN van geprinte versie | 978-3-319-47716-9 |
DOI's | |
Status | Gepubliceerd - 2016 |
Evenement | 35th International Conference on Conceptual Modeling, ER 2016 - Gifu, Japan Duur: 14 nov. 2016 → 17 nov. 2016 Congresnummer: 35 http://er2016.cs.titech.ac.jp/ |
Publicatie series
Naam | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 9975 LNCS |
Congres
Congres | 35th International Conference on Conceptual Modeling, ER 2016 |
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Verkorte titel | ER 2016 |
Land/Regio | Japan |
Stad | Gifu |
Periode | 14/11/16 → 17/11/16 |
Internet adres |