engineering document

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Enriching Reverse Engineering with Semantic ClusteringIn proceedings of Working Conference On Reverse Engineering (WCRE 2005)Adrian KuhnSoftware Composition GroupUniversity of Berne, SwitzerlandStephane DucasseLISTIC, Universite de Savoie, FranceSCG, University of Berne, SwitzerlandTudor Grba Software Composition GroupUniversity of Berne, SwitzerlandAbstracttion between developer and machine, and communicationamong developers1 . Analyzing semantics relies on the latter, since the communication with the machine is formaland only a matter of correct structure and syntax, e.g. thenaming of an identifier is irrelevant to the machine, not tomention that comments get completely ignored. On theother hand communication among developers is informaland uses a rich vocabulary bearing semantic information.Consider, for example, a short testing method tellingwhether a time value is in the morning:Understanding a software system by just analyzing thestructure of the system reveals only half of the picture, sincethe structure tells us only how the code is working but notwhat the code is about. What the code is about can be foundin the semantics of the source code: names of identifiers,comments etc. In this paper, we analyze how these termsare spread over the source artifacts using Latent SemanticIndexing, an information retrieval technique. We use theassumption that parts of the system that use similar termsare related. We cluster artifacts that us

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