Architecture recovery and evaluation aiming at program understanding and reuse
QoSA'07 Proceedings of the Quality of software architectures 3rd international conference on Software architectures, components, and applications
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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.