Name
Abstract | ||
|---|---|---|
Software Product Line (SPL) migration remains a challenging endeavour. From organizational issues to purely technical challenges, there is a wide range of barriers that complicates SPL adoption. This workshop aims to foster research about making the most of the two main inputs for SPL migration: 1) domain knowledge and 2) legacy assets. Domain knowledge, usually implicit and spread across an organization, is key to define the SPL scope and to validate the variability model and its semantics. At the technical level, domain expertise is also needed to create or extract the reusable software components. Legacy assets can be, for instance, similar product variants (e.g., requirements, models, source code etc.) that were implemented using ad-hoc reuse techniques such as clone-and-own. More generally, the workshop REverse Variability Engineering (REVE) attracts researchers and practitioners contributing to processes, techniques, tools, or empirical studies related to the automatic, semi-automatic or manual extraction or refinement of SPL assets.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3336294.3342365 | Proceedings of the 23rd International Systems and Software Product Line Conference - Volume A |
Keywords | Field | DocType |
datasets, gaze detection, neural networks, text tagging | Engineering,Library science | Conference |
ISBN | Citations | PageRank |
978-1-4503-7138-4 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mathieu Acher | 1 | 747 | 52.36 |
| Tewfik Ziadi | 2 | 384 | 29.11 |
| Roberto E. Lopez-Herrejon | 3 | 645 | 47.36 |
| Jabier Martinez | 4 | 141 | 13.68 |