Reverse Engineering Feature Models

Companies often develop in a non-disciplined manner a set of software variants that share some features and di er in others to meet variant-specific requirements. To exploit existing software variants and manage them coherently as a software product line, a feature model must be built as a first step. To do so, it is necessary to extract mandatory and optional features from the code of the variants in addition to associate each feature implementation with its name. In this book, we propose an automatic approach to organize the mined documented features into a feature model. The feature model is a tree which highlights mandatory features, optional features and feature groups (and, or, xor groups). The feature model is completed with requirement and mutual exclusion constraints. We rely on Formal Concept Analysis and software configurations to mine a unique and consistent feature model. To validate our approach, we apply it on several case studies. The results of this evaluation validate the relevance and performance of our proposal as most of the features and their associated constraints are correctly identi ed.

Autorentext

Ra'Fat Al-Msie'Deen received Bachelor of computer science in September 17, 2007 from Al - Hussein Bin Talal University in Jordan, and he received a Master of Science (Information Technology) in March 28, 2009 from University Utara Malaysia. His research interest includes Software Product Line Engineering and Formal Concept Analysis.