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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)
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 time-consuming and error-prone. On a large scale, it is very difficult for an architect(More)
Variability management is a key issue when building and evolving software-intensive systems, making it possible to extend, configure, customize and adapt such systems to customers’ needs and specific deployment contexts. A wide form of variability can be found in extensible software systems, typically built on top of plugin-based architectures that offer a(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)
Managing in a generic way the evolution process of feature-oriented <i>Software Product Lines</i> (spls) is complex due to the number of elements that are impacted and the heterogeneity of the spls regarding artifacts used to define them. Existing work presents specific approaches to manage the evolution of spls in terms of such artifacts, <i>i.e</i>.,(More)
—A factor slowing down the use of feature models is that either the concepts or the relations expressed in a feature model are not defined at all, or defined in an unsatisfactory manner; feature models are sometimes too vague to be analyzed by a reasoning tool. It is thus difficult to determine if the features in a feature model are arranged and structured(More)
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 , subsystems or concerns of the software system. This activity is generally tedious and error-prone. In this article, we(More)