Philippe Collet

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The feature model formalism has become the de facto standard for managing variability in software product lines (SPLs). In practice, developing an SPL can involve modeling a large number of features representing different viewpoints, sub-systems or concerns of the software system. This activity is generally tedious and error-prone. In this article, we(More)
In product line engineering, domain analysis is the process of analyzing related products to identify their common and variable features. This process is generally carried out by experts on the basis of existing product descriptions, which are expressed in a more or less structured way. Modeling and reasoning about product descriptions are error-prone and(More)
The past several years have seen an increasing interest in the peroxisome proliferator-activated receptors (PPARs). These transcriptional factors belong to the superfamily of the steroid/thyroid/retinoid receptors. They are activated by fatty acids or their metabolites as well as by different xenobiotic peroxisome proliferators. These receptors are(More)
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(More)
Adherence to osteoporosis treatment is not satisfactory. Our study evaluated persistence and compliance with these treatments prescribed specifically in the context of a fracture liaison service (FLS), an internal health care network, and showed that this type of organization in our institution was associated with high level of adherence. Medical management(More)
This paper describes current research on the optimisation of the pedagogical path of a student in an existing e-learning software. This optimisation is performed following the models given by a fairly recent field of Artificial Intelligence: Ant Colony Optimisation (ACO) [1,2,4]. The underlying structure of the E-learning material is represented by a graph(More)
In grid-based scientific applications, building a workflow essentially involves composing parameterized services describing families of services and then configuring the resulting workflow product line. In domains (e.g., medical imaging) in which many different kinds of highly parameterized services exist, there is a strong need to manage variabilities so(More)
Although model-driven engineering (MDE) is now an established approach for developing complex software systems, it has not been universally adopted by the software industry. In order to better understand the reasons for this, as well as to identify future opportunities for MDE, we carried out a week-long design thinking experiment with 15 MDE experts.(More)
Feature models (FMs) are a popular formalism for describing the commonality and variability of software product lines (SPLs) in terms of features. As SPL development increasingly involves numerous large FMs, scalable modular techniques are required to manage their complexity. In this paper, we present a novel slicing technique that produces a projection of(More)