Dynamic visualisation of features and contexts for context-oriented programmers

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

Résultats de recherche: Contribution dans un livre/un catalogue/un rapport/dans les actes d'une conférenceArticle dans les actes d'une conférence/un colloque

Résumé

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.

langue originaleAnglais
titreProceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS 2019
Lieu de publicationNew York
EditeurACM Press
Nombre de pages6
ISBN (Electronique)978-1-4503-6745-5
Les DOIs
Etat de la publicationPublié - 18 juin 2019

Série de publications

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

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