Abstract. Changes and evolution of software systems constantly generate new challenges for the recovery of software systems architectures. A system's architecture, together with its elements and the way they interact, constitute valuable assets for understanding the system. We believe that offering multiple architectural views of a given system, using domain and pattern knowledge enhance understanding of the software system as a whole. To correlate different sources of information and existing software system, different viewpoints are considered. Viewpoints enable one to model such information and guide the extraction algorithms to extract multiple architectural views. We propose a recursive framework, an approach that expresses different kinds of information as viewpoints to guide the extraction process. These multiple viewpoints models improve the consideration of architectural, conceptual, and structural aspects of the system.

International audienceWe believe that offering means for defining and building multiple architectural views of a given system enhances the understanding of the system as a whole. BeeEye is a generic and open framework for architecture reconstruction, which allows to construct architectural views using different (possibly combined) viewpoints and perspectives. The framework follows a model-driven approach where viewpoints and views (abstract and concrete) are models that are defined, constructed and used

Abstract-A software system's architecture, its elements and the way they interact, constitute valuable assets for comprehending the system. Many approaches have been developed to help comprehending software systems in different manners. Most of them focus on structural aspects. We believe offering multiple views of the same system, using domain knowledge helps understanding a software system as whole.To correlate domain information and existing software systems, different viewpoints are considered and modelled. Viewpoints guide the extraction of architectural views, the later representing different system facets. We propose a recursive framework, an approach that expresses domain knowledge as viewpoints to guide the extraction process. It provides multiple architectural views according to multiple given viewpoints.