skip to main content
10.1145/3233027.3241371acmotherconferencesArticle/Chapter ViewAbstractPublication PagessplcConference Proceedingsconference-collections
extended-abstract

REVE 2018: 6th international workshop on reverse variability engineering

Published: 10 September 2018 Publication History

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. The workshop REverse Variability Engineering (REVE) 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) that were implemented using ad-hoc reuse techniques such as clone-and-own. More generally, the workshop 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.

References

[1]
Roberto Erick Lopez-Herrejon, Jabier Martinez, Tewfik Ziadi, and Mathieu Acher. 2016. Fourth international workshop on reverse variability engineering (REVE 2016). In Proceedings of the 20th International Systems and Software Product Line Conference, SPLC 2016, Beijing, China, September 16-23, 2016. 345.
[2]
Roberto E. Lopez-Herrejon, Tewfik Ziadi, Jabier Martinez, and Anil Kumar Thurimella. 2013. 1st International Workshop on Reverse Variability Engineering. In CSMR, Genova, Italy, March 5-8.
[3]
Roberto E. Lopez-Herrejon, Tewfik Ziadi, Jabier Martinez, and Anil Kumar Thurimella. 2014. Second International Workshop on Reverse Variability Engineering (REVE 2014). In SPLC, Florence, Italy, September 15-19. 354.
[4]
Roberto E. Lopez-Herrejon, Tewfik Ziadi, Jabier Martinez, Anil Kumar Thurimella, and Mathieu Acher. 2015. Third International Workshop on Reverse Variability Engineering (REVE 2015). In SPLC 2015, Nashville, TN, USA, July 20-24. 394.
[5]
Jabier Martinez, Roberto Erick Lopez-Herrejon, Tewfik Ziadi, and Mathieu Acher. 2017. Fifth international workshop on reverse variability engineering (REVE 2017). In Proceedings of the 21st International Systems and Software Product Line Conference, SPLC 2017, Sevilla, Spain, September 25-29, 2017. 245.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
SPLC '18: Proceedings of the 22nd International Systems and Software Product Line Conference - Volume 1
September 2018
324 pages
ISBN:9781450364645
DOI:10.1145/3233027
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 September 2018

Check for updates

Author Tags

  1. extractive software product line adoption
  2. reverse engineering
  3. software product lines
  4. variability management

Qualifiers

  • Extended-abstract

Conference

SPLC '18

Acceptance Rates

Overall Acceptance Rate 167 of 463 submissions, 36%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 46
    Total Downloads
  • Downloads (Last 12 months)1
  • Downloads (Last 6 weeks)0
Reflects downloads up to 25 Feb 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media