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| Content Provider | Springer Nature Link |
|---|---|
| Author | Alférez, Mauricio Bonifácio, Rodrigo Teixeira, Leopoldo Accioly, Paola Kulesza, Uirá Moreira, Ana Araújo, João Borba, Paulo |
| Copyright Year | 2013 |
| Abstract | Software product lines (SPL) provide support for productivity gains through systematic reuse. Among the various quality attributes supporting these goals, modularity, stability and expressiveness of feature specifications, their composition and configuration knowledge emerge as strategic values in modern software development paradigms. This paper presents a metric-based evaluation aiming at assessing how well the chosen qualities are supported by scenario-based SPL requirements approaches. The selected approaches for this study span from type of notation (textual or graphical based), style to support variability (annotation or composition based), and specification expressiveness. They are compared using the metrics developed in a set of releases from an exemplar case study. Our major findings indicate that composition-based approaches have greater potential to support modularity and stability, and that quantification mechanisms simplify and increase expressiveness of configuration knowledge and composition specifications. |
| Starting Page | 355 |
| Ending Page | 376 |
| Page Count | 22 |
| File Format | |
| ISSN | 09473602 |
| Journal | Requirements Engineering |
| Volume Number | 19 |
| Issue Number | 4 |
| e-ISSN | 1432010X |
| Language | English |
| Publisher | Springer London |
| Publisher Date | 2013-10-23 |
| Publisher Place | London |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Software product lines Variability modeling Use scenarios Requirements specification Software Engineering |
| Content Type | Text |
| Resource Type | Article |
| Subject | Information Systems Software |
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