Towards a Set of Application Independent Clustering Criteria within an Architecture Recovery Approach

Architecture recovery is usually supported by a set of tools that implement techniques, such as concept analysis, clustering, data mining and pattern matching for abstracting low-level source code elements into higher-level architectural elements. However, the decision making in this process usually depends on a previously defined high-level model of the system architecture or on criteria that are application dependent. In this paper we present a set of application independent clustering criteria to support architectural elements definition. These criteria help the user in his decision making and can be reused in many different contexts.