Paper Info
Title
Towards a Set of Application Independent Clustering Criteria within an Architecture Recovery Approach
Abstract
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.
Year
DOI
Venue
2005
10.1109/WICSA.2005.72
Pittsburgh, PA, USA
Keywords
Field
DocType
documentation,data mining,association rules,pattern matching,system architecture,data analysis,reverse engineering,concept analysis,unified modeling language,pattern analysis,source code
Data mining,Architecture,Source code,Computer science,Reverse engineering,Association rule learning,Systems architecture,Cluster analysis,Formal concept analysis,Pattern matching
Conference
ISBN
Citations 
PageRank 
0-7695-2548-2
1
0.36
References 
Authors
4
2
Name
Order
Citations
PageRank
Aline Pires Vieira de Vasconcelos151.09
Cláudia Werner2715.57