REVE 2020: 8th International Workshop on Reverse Variability Engineering

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URI: https://hdl.handle.net/11556/2379
ISBN: 9781450375696
DOI: 10.1145/3382025.3414947
Publication date
2020-10-19
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Association for Computing Machinery
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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 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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Publisher Copyright: © 2020 ACM.
Keywords
extractive software product line adoption , reverse engineering , software product lines , variability management , Software , Human-Computer Interaction , Computer Vision and Pattern Recognition , Computer Networks and Communications
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conference output
Citation
Assunção , W K G , Acher , M , Ziadi , T & Martinez , J 2020 , REVE 2020 : 8th International Workshop on Reverse Variability Engineering . in S Ali , W K G Assuncao , T Berger , C Cetina , P Collet , J Galindo , P Gazzillo , L Linsbauer , R E Lopez-Herrejon , S Nadi , S Schulze & S Trujillo (eds) , Proceedings of the 24th ACM Conference on Systems and Software Product Line, SPLC 2020 . ACM International Conference Proceeding Series , vol. Part F164267-A , Association for Computing Machinery , pp. 65-76 , 24th ACM Conference on Systems and Software Product Line, SPLC 2020 , Virtual, Online , Canada , 19/10/20 . https://doi.org/10.1145/3382025.3414947
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