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Third International Workshop on Reverse Variability Engineering (REVE 2015)

Published: 20 July 2015 Publication History

Abstract

Variability management of a product family is the core aspect of Software Product Line Engineering. The adoption of this mature approach requires a high upfront investment before being able to automatically generate product instances based on customer requirements. However, this adoption costs and risks could be reduced with an incremental approach, which mines existing assets and then transitions to full product line engineering. Those existing assets can be for instance similar product variants that were implemented using ad-hoc reuse techniques such as clone-and-own. Hence, there is a great need of bottom-up approaches that extract variability from the artifacts (across all the life cycle) of the legacy product variants and manage the consolidated variability. The REVE workshop series aims to bring together the Reengineering and Software Product Line Engineering communities to address this gap.

References

[1]
R. E. Lopez-Herrejon, T. Ziadi, J. Martinez, and A. K. Thurimella. 1st International Workshop on Reverse Variability Engineering. In 17th European Conference on Software Maintenance and Reengineering CSMR), Genova, Italy, March 5-8, 2013.
[2]
R. E. Lopez-Herrejon, T. Ziadi, J. Martinez, and A. K. Thurimella. Second international workshop on reverse variability engineering (REVE 2014). In 18th International Software Product Line Conference, SPLC, Florence, Italy, September 15-19, page 354, 2014.

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SPLC '15: Proceedings of the 19th International Conference on Software Product Line
July 2015
460 pages
ISBN:9781450336130
DOI:10.1145/2791060
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

  • Vanderbilt University: Vanderbilt University
  • Biglever: BigLever Software, Inc.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 July 2015

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Author Tags

  1. constraint mining
  2. feature location
  3. feature model synthesis
  4. legacy assets mining
  5. reverse engineering
  6. software product line engineering

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  • Short-paper

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SPLC '15
Sponsor:
  • Vanderbilt University
  • Biglever

Acceptance Rates

SPLC '15 Paper Acceptance Rate 34 of 87 submissions, 39%;
Overall Acceptance Rate 167 of 463 submissions, 36%

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