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Text mining and software engineering: an integrated source code and document analysis approach

Text mining and software engineering: an integrated source code and document analysis approach

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  • Author(s): R. Witte 1 ; Q. Li 1 ; Y. Zhang 2 ; J. Rilling 2
    • View affiliations
    • Affiliations: 1: Institut für Programmstrukturen und Datenorganisation (IPD), Fakultät für Informatik, Universität Karlsruhe (TH), Germany
      2: Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada
  • Source: Volume 2, Issue 1, February 2008, p. 3 – 16
    DOI:  10.1049/iet-sen:20070110 , Print ISSN 1751-8806, Online ISSN 1751-8814
© The Institution of Engineering and Technology
Published

Documents written in natural languages constitute a major part of the artefacts produced during the software engineering life cycle. Especially during software maintenance or reverse engineering, semantic information conveyed in these documents can provide important knowledge for the software engineer. A text mining system capable of populating a software ontology with information detected in documents is presented. A particular novelty is the integration of results from automated source code analysis into a natural language processing pipeline, allowing to cross-link software artefacts represented in code and natural language on a semantic level.

Inspec keywords: reverse engineering; software maintenance; natural language processing; text analysis

Other keywords: text mining system; natural language processing pipeline; software engineering; reverse engineering; software maintenance; document analysis; integrated source code analysis

Subjects: Natural language interfaces; Software engineering techniques; Document processing and analysis techniques

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