Reverse Engineering Architectural Feature Models

Mathieu Acher 1 Anthony Cleve 2 Philippe Collet 1 Philippe Merle 2 Laurence Duchien 2 Philippe Lahire 1
1 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe MODALIS
Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
2 ADAM - Adaptive Distributed Applications and Middleware
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe
Abstract : Reverse engineering the variability of an existing system is a challenging activity. The architect knowledge is essential to identify variation points and explicit constraints between features, for instance in feature models (FMs), but the manual creation of FMs is both timeconsuming and error-prone. On a large scale, it is very difficult for an architect to guarantee that the resulting FM ensures a safe composition of the architectural elements when some features are selected. In this paper, we present a comprehensive, tool supported process for reverse engineering architectural FMs. We develop automated techniques to extract and combine different variability descriptions of an architecture. Then, alignment and reasoning techniques are applied to integrate the architect knowledge and reinforce the extracted FM. We illustrate the reverse engineering process when applied to a representative software system, FraSCAti, and we report on our experience in this context.
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Mathieu Acher, Anthony Cleve, Philippe Collet, Philippe Merle, Laurence Duchien, et al.. Reverse Engineering Architectural Feature Models. 5th European Conference of Software Architecture (ECSA), Sep 2011, Essen, Germany. pp.220-235, ⟨10.1007/978-3-642-23798-0_25⟩. ⟨inria-00614984⟩

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