The Open UniversitySkip to content
 

Separating concerns in feature models: retrospective and support for multi-views

Hubaux, Arnaud; Acher, Mathieu; Tun, Thein Than; Heymans, Patrick; Collet, Philippe and Lahire, Philippe (2013). Separating concerns in feature models: retrospective and support for multi-views. In: Reinhartz-Berger, Iris; Sturm, Arnon; Clark, Tony; Cohen, Sholom and Bettin, Jorn eds. Domain Engineering: Product Lines, Languages, and Conceptual Models. Berlin: Springer, pp. 3–28.

Full text available as:
Full text not publicly available (Accepted Manuscript)
Due to publisher licensing restrictions, this file is not available for public download
URL: http://link.springer.com/chapter/10.1007/978-3-642...
DOI (Digital Object Identifier) Link: https://doi.org/10.1007/978-3-642-36654-3_1
Google Scholar: Look up in Google Scholar

Abstract

Feature models (FMs) are a popular formalism to describe the commonality and variability of a set of assets in a software product line (SPL). SPLs usually involve large and complex FMs that describe thousands of features whose legal combinations are governed by many and often complex rules. The size and complexity of these models is partly explained by the large number of concerns considered by SPL practitioners when managing and configuring FMs. In this chapter, we first survey concerns and their separation in FMs, highlighting the need for more modular and scalable techniques. We then revisit the concept of view as a simplified representation of an FM. We finally describe a set of techniques to specify, visualise and verify the coverage of a set of views. These techniques are implemented in complementary tools providing practical support for feature-based configuration and large-scale management of FMs.

Item Type: Book Section
Copyright Holders: 2013 Springer-Verlag
ISBN: 3-642-36653-8, 978-3-642-36653-6
Keywords: configuration; feature model; model management; separation of concerns; slicing; software product lines; variability; views
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 40154
Depositing User: Thein Tun
Date Deposited: 16 May 2014 08:19
Last Modified: 07 Dec 2018 23:03
URI: http://oro.open.ac.uk/id/eprint/40154
Share this page:

Metrics

Altmetrics from Altmetric

Citations from Dimensions

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU