Structuring the modeling space and supporting evolution in software product line engineering
Journal of Systems and Software
A model for variability design rationale in SPL
Proceedings of the Fourth European Conference on Software Architecture: Companion Volume
Usage context as key driver for feature selection
SPLC'10 Proceedings of the 14th international conference on Software product lines: going beyond
Using knowledge-based systems to manage quality attributes in software product lines
Proceedings of the 15th International Software Product Line Conference, Volume 2
Issue-based variability management
Information and Software Technology
Aligning software configuration with business and IT context
CAiSE'12 Proceedings of the 24th international conference on Advanced Information Systems Engineering
Collaboration and source code driven bottom-up product line engineering
Proceedings of the 16th International Software Product Line Conference - Volume 2
A mixed-method approach for the empirical evaluation of the issue-based variability modeling
Journal of Systems and Software
| Hi-index | 0.00 |
Modeling variability is a challenging issue in product line requirements engineering. Particular problems include, the instantiation of variations for individual products, the long-term evolution of the product line, and the support of collaboration between stakeholders. These problems are even more complicated when the product line organization is globally distributed. To address theses problems, this paper identifies four higher-level similarities between rationale management (which focus on knowledge management during software design) and variability management. Furthermore, exploiting the similarities, rationale management is combined with variability management to contribute issue-based variability modeling. Issue-based variability modeling was implemented and empirically evaluated based on a series of case studies with multi-case design. The results of the evaluation show that our approach improves the instantiation and evolution of variability, enables better informal collaboration between distributed stakeholders with different levels of modeling expertise and enhances the longevity of product lines.