Ontological Text Mining of Software Documents

作者:René Witte, Qiangqiang Li, Yonggang Zhang;Juergen Rilling 刊名:Lecture Notes in Computer Science 上传者:忻红

【摘要】Documents written in natural languages constitute a major part of the software engineering lifecycle artifacts. Especially during software maintenance or reverse engineering, semantic information conveyed in these documents can provide important knowledge for the software engineer. In this paper, we present a text mining system capable of populating a software ontology with information detected in documents.

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Ontological Text Mining of Software Documents René Witte1, Qiangqiang Li1, Yonggang Zhang2, and Juergen Rilling2 1 Institut für Programmstrukturen und Datenorganisation (IPD) Universität Karlsruhe (TH), Germany 2 Department of Computer Science and Software Engineering Concordia University, Montréal, Canada Abstract. Documents written in natural languages constitute a ma- jor part of the software engineering lifecycle artifacts. Especially during software maintenance or reverse engineering, semantic information con- veyed in these documents can provide important knowledge for the soft- ware engineer. In this paper, we present a text mining system capable of populating a software ontology with information detected in documents. 1 Introduction With the ever increasing number of computers and their support for business processes, an estimated 250 billion lines of source code were being maintained in 2000, with that number rapidly increasing [1]. The relative cost of maintain- ing and managing the evolution of this large software base now represents more than 90% of the total cost [2] associated with a software product. One of the major challenges for software engineers while performing a maintenance task is the need to comprehend a multitude of often disconnected artifacts created orig- inally as part of the software development process [3]. These artifacts include, among others, source code and corresponding software documents, e.g., require- ments specifications, design des

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