Mapping Features to Automatically Identified Object-Oriented Variability Implementations - The case of ArgoUML-SPL
- Others:
- Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)
- Scalable and Pervasive softwARe and Knowledge Systems (Laboratoire I3S - SPARKS) ; Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)
- COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)
- Modélisation et Vérification (MoVe) ; LIP6 ; Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
Description
In Software Product Line (SPL) engineering, mapping domain features to existing code assets is essential for variability management. When variability is already implemented through Object-Oriented (OO) techniques, it is too costly and error-prone to refactor assets in terms of features or to use feature annotations. In this work, we delve into the possible usage of automatically identified variation points with variants in an OO code base to enable feature mapping from the domain level. We report on an experiment conducted over ArgoUML-SPL, using its code as input for automatic detection through the symfinder toolchain, and the previously devised domain features as a ground truth. We analyse the relevance of the identified variation points with variants w.r.t. domain features, adapting precision and recall measures. This shows that the approach is feasible, that an automatic mapping can be envisaged, and also that the symfinder visualization is adapted to this process with some slight additions.
Abstract
International audience
Additional details
- URL
- https://hal.archives-ouvertes.fr/hal-02421353
- URN
- urn:oai:HAL:hal-02421353v1
- Origin repository
- UNICA