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Mapping features to automatically identified object-oriented variability implementations

the case of ArgoUML-SPL
Authors: Mortara, Johann; Tërnava, Xhevahire; Collet, Philippe;

Mapping features to automatically identified object-oriented variability implementations

Abstract

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.

Keywords

Understanding software variability, Automatic identification of variation points, [INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE], Software product lines, Variability traceability

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Top 10%
Top 10%
Green