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Conference Papers Year : 2013

Support for Reverse Engineering and Maintaining Feature Models

Abstract

Feature Models (FMs) are a popular formalism for modelling and reasoning about commonality and variability of a system. In essence, FMs aim to define a set of valid combinations of features, also called configurations. In this paper, we tackle the problem of synthesising an FM from a set of configurations. The main challenge is that numerous candidate FMs can be extracted from the same input configurations, yet only a few of them are meaningful and maintainable. We first characterise the different meanings of FMs and identify the key properties allowing to discriminate between them. We then develop a generic synthesis procedure capable of restituting the intended meanings of FMs based on inferred or user-specified knowledge. Using tool support, we show how the integration of knowledge into FM synthesis can be realized in different practical application scenarios that involve reverse engineering and maintaining FMs.
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Dates and versions

hal-00766786 , version 1 (08-09-2013)

Identifiers

  • HAL Id : hal-00766786 , version 1

Cite

Mathieu Acher, Patrick Heymans, Anthony Cleve, Jean-Luc Hainaut, Benoit Baudry. Support for Reverse Engineering and Maintaining Feature Models. VaMoS'13 - Seventh International Workshop on Variability Modelling of Software-Intensive Systems, Jan 2013, Pisa, Italy. ⟨hal-00766786⟩
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