Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | New Trends in Software Methodologies, Tools and Techniques |
| Herausgeber (Verlag) | IOS Press |
| Seiten | 37-58 |
| Seitenumfang | 22 |
| ISBN (Print) | 9781607506287 |
| Publikationsstatus | Veröffentlicht - 1 Jan. 2010 |
| Extern publiziert | Ja |
Publikationsreihe
| Name | Frontiers in Artificial Intelligence and Applications |
|---|---|
| Band | 217 |
Abstract
Managing and developing a set of software products jointly using a software product line approach has achieved significant productivity and quality gain in the last decade. More and more, product lines now are becoming themselves entities that are sold and bought in the software supply chain. Customers build more specialized product lines on top of them or derive themselves the concrete products. As customers have different requirements, whole product lines now may vary depending on customer needs - they need to be customized. Current approaches going beyond the scope of one product line do not provide appropriate means for customization. They either are tailored to specific implementation techniques, only regard customization on few levels (e.g., only source code level), or imply a lot of manual effort for performing the customization. The PLiC Approach tackles this challenge by providing a generic, reusable reference architecture and methodology for implementing such customizable product lines. In the reference architecture, a product line consists of so-called product line components (PLiCs), which are flexibly recombinable slices of a formerly monolithic product line, thereby maintaining strict separation of concerns. The approach furthermore comprises a tool-supported methodology for recombination of PLiCs based on customer needs and thus minimizes manual intervention when customizing. We implemented the PLiC Approach for a complex model-driven product line, where it facilitates comprehensive customization on various levels in the models, the model transformation chain, and in the source code with reasonable effort. This gives evidence that our approach can be applied in various other contexts where the same or fewer customization levels need to be considered.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Artificial intelligence
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New Trends in Software Methodologies, Tools and Techniques. IOS Press, 2010. S. 37-58 (Frontiers in Artificial Intelligence and Applications; Band 217).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Beitrag in Buch/Sammelwerk › Forschung › Peer-Review
}
TY - CHAP
T1 - Multi-Level Product Line Customization
AU - Elsner, Christoph
AU - Schwanninger, Christa
AU - Schröder-Preikschat, Wolgang
AU - Lohmann, Daniel
PY - 2010/1/1
Y1 - 2010/1/1
N2 - Managing and developing a set of software products jointly using a software product line approach has achieved significant productivity and quality gain in the last decade. More and more, product lines now are becoming themselves entities that are sold and bought in the software supply chain. Customers build more specialized product lines on top of them or derive themselves the concrete products. As customers have different requirements, whole product lines now may vary depending on customer needs - they need to be customized. Current approaches going beyond the scope of one product line do not provide appropriate means for customization. They either are tailored to specific implementation techniques, only regard customization on few levels (e.g., only source code level), or imply a lot of manual effort for performing the customization. The PLiC Approach tackles this challenge by providing a generic, reusable reference architecture and methodology for implementing such customizable product lines. In the reference architecture, a product line consists of so-called product line components (PLiCs), which are flexibly recombinable slices of a formerly monolithic product line, thereby maintaining strict separation of concerns. The approach furthermore comprises a tool-supported methodology for recombination of PLiCs based on customer needs and thus minimizes manual intervention when customizing. We implemented the PLiC Approach for a complex model-driven product line, where it facilitates comprehensive customization on various levels in the models, the model transformation chain, and in the source code with reasonable effort. This gives evidence that our approach can be applied in various other contexts where the same or fewer customization levels need to be considered.
AB - Managing and developing a set of software products jointly using a software product line approach has achieved significant productivity and quality gain in the last decade. More and more, product lines now are becoming themselves entities that are sold and bought in the software supply chain. Customers build more specialized product lines on top of them or derive themselves the concrete products. As customers have different requirements, whole product lines now may vary depending on customer needs - they need to be customized. Current approaches going beyond the scope of one product line do not provide appropriate means for customization. They either are tailored to specific implementation techniques, only regard customization on few levels (e.g., only source code level), or imply a lot of manual effort for performing the customization. The PLiC Approach tackles this challenge by providing a generic, reusable reference architecture and methodology for implementing such customizable product lines. In the reference architecture, a product line consists of so-called product line components (PLiCs), which are flexibly recombinable slices of a formerly monolithic product line, thereby maintaining strict separation of concerns. The approach furthermore comprises a tool-supported methodology for recombination of PLiCs based on customer needs and thus minimizes manual intervention when customizing. We implemented the PLiC Approach for a complex model-driven product line, where it facilitates comprehensive customization on various levels in the models, the model transformation chain, and in the source code with reasonable effort. This gives evidence that our approach can be applied in various other contexts where the same or fewer customization levels need to be considered.
KW - Model-Driven Development
KW - Software Product Line Architecture
KW - Software Product Line Development
UR - http://www.scopus.com/inward/record.url?scp=78049298307&partnerID=8YFLogxK
U2 - 10.3233/978-1-60750-629-4-37
DO - 10.3233/978-1-60750-629-4-37
M3 - Contribution to book/anthology
AN - SCOPUS:78049298307
SN - 9781607506287
T3 - Frontiers in Artificial Intelligence and Applications
SP - 37
EP - 58
BT - New Trends in Software Methodologies, Tools and Techniques
PB - IOS Press
ER -