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.
This paper will be presented at The 11th ACM SIGCHI Symposium on Engineering Interactive Computing Systems - 18-21 June, 2019
About the authors :
Benoît Duhoux is a teaching assistant and researcher in INGI, at UCLouvain in Belgium. He is member of the RELEASeD Laboratory. He currently works on how to reconcile Context-Oriented Programming and User Interface Adaptation.
Bruno Dumas, Professor of Computer Science, UNamur.
Hoo Sing Leung, a master-level student that contributed to the development of the visualisation tool.
Kim Mens, Professor of Computer Science, UCLouvain.