Carrying ideas from knowledge-based configuration to software product lines

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Researchers

Research units

  • University of Helsinki

Abstract

Software variability modelling (SVM) has become a central concern in software product lines - especially configurable software product lines (CSPL) require rigorous SVM. Dynamic SPLs, service oriented SPLs, and autonomous or pervasive systems are examples where CSPLs are applied. Knowledge-based configuration (KBC) is an established way to address variability modelling aiming for the automatic product configuration of physical products. Our aim was to study what major ideas from KBC can be applied to SVM, particularly in the context of CSPLs. Our main contribution is the identification of major ideas from KBC that could be applied to SVM. First, we call for the separation of types and instances. Second, conceptual clarity of modelling concepts, e.g., having both taxonomical and compositional relations would be useful. Third, we argue for the importance of a conceptual basis that provides a foundation for multiple representations, e.g., graphical and textual. Applying the insights and experiences embedded in these ideas may help in the development of modelling support for software product lines, particularly in terms of conceptual clarity and as a basis for tool support with a high level of automation.

Details

Original languageEnglish
Title of host publicationSoftware Reuse: Bridging with Social-Awareness - 15th International Conference, ICSR 2016, Proceedings
EditorsGeorgia M. Kapitsaki, Eduardo Santana de Almeida
Publication statusPublished - 2016
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Software Reuse - Limassol, Cyprus
Duration: 5 Jun 20167 Jun 2016
Conference number: 15

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9679
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

ConferenceInternational Conference on Software Reuse
Abbreviated titleICSR
CountryCyprus
CityLimassol
Period05/06/201607/06/2016

    Research areas

  • Conceptualization, Feature modelling, Knowledgebased configuration, Variability management, Variability modelling

ID: 4392135