Dynamic visualisation of features and contexts for context-oriented programmers

Benoît Duhoux, Bruno Dumas, Hoo Sing Leung, Kim Mens

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Abstract

Context-oriented programming languages allow programmers to develop context-aware systems that can adapt their behaviour dynamically upon changing contexts. Due to the highly dynamic nature of such systems and the many possible combinations of contexts to which such systems may adapt, developing such systems is hard. Feature-based context-oriented programming helps tackle part of this complexity by modelling the possible contexts, and the different behavioural adaptations they can trigger, as separate feature models. Tools can also help developers address the underlying complexity of this approach. This paper presents a visualisation tool that is intricately related to the underlying architecture of a feature-based context-oriented programming language, and the context and feature models it uses. The visualisation confronts two hierarchical models (a context model and a feature model) and highlights the dependencies between them. An initial user study of the visualisation tool is performed to assess its usefulness and usability.

Original languageEnglish
Title of host publicationProceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS 2019
Place of PublicationNew York
PublisherACM Press
Number of pages6
ISBN (Electronic)978-1-4503-6745-5
DOIs
Publication statusPublished - 18 Jun 2019

Publication series

NameProceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS 2019

Keywords

  • Context-oriented programming
  • Dynamic software adaptation
  • Feature-oriented software development
  • Software visualisation

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