Collaborative context features for critical systems

Rafael Capilla, Mike Hinchey, Francisco J. Díaz

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

Abstract

Feature models and their extensions have been proposed and used over the past 20 years for modeling the commonality and variability of software systems. However, the increasing runtime demands and post-deployment configuration procedures of selfadaptive, context-aware and pervasive systems has brought the need for modeling context features. In addition, many critical systems that demand stringent collaborative features at runtime need also to share information dynamically. In this research-inprogress paper, we sketch our vision of where feature modeling should go to support collaborative aspects of systems. Our proposal suggests identifying and annotating context features models with collaborative information that becomes particularly useful for critical and swarm-based systems that require information exchange at runtime.

Original languageEnglish
Title of host publicationProceedings - VaMoS 2015
Subtitle of host publication9th International Workshop on Variability Modelling of Software-Intensive Systems
EditorsJohannes Muller, Oystein Haugen, Klaus Schmid
PublisherAssociation for Computing Machinery
Pages43-50
Number of pages8
ISBN (Electronic)9781450332736
DOIs
Publication statusPublished - 21 Jan 2015
Event9th International Workshop on Variability Modelling of Software-Intensive Systems, VaMoS 2015 - Hildesheim, Germany
Duration: 21 Jan 201523 Jan 2015

Publication series

NameACM International Conference Proceeding Series
Volume21-23-January-2015

Conference

Conference9th International Workshop on Variability Modelling of Software-Intensive Systems, VaMoS 2015
Country/TerritoryGermany
CityHildesheim
Period21/01/1523/01/15

Keywords

  • Adaptation
  • Context features
  • Context-aware systems
  • Feature modeling
  • Runtime

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