Abstract

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.

Reference

René Witte, Qiangqiang Li, Yonggang Zhang, and Juergen Rilling. Ontological Text Mining of Software Documents. 12th International Conference on Applications of Natural Language to Information Systems (NLDB 2007), June 27-29, 2007, CNAM, Paris, France. Springer LNCS 4592, pp.168-180.

Bibtex entry (also for download):

@inproceedings{WLZR07,
    author    = {Ren{\'e} Witte and Qiangqiang Li and
                 Yonggang Zhang and Juergen Rilling},
    title     = {Ontological Text Mining of Software Documents},
    booktitle = {NLDB},
    pages     = {168--180},
    publisher = {Springer},
    series    = {Lecture Notes in Computer Science},
    volume    = {4592},
    month     = {June 27--29},
    year      = {2007},
    address   = {CNAM, Paris, France},
    url       = {http://rene-witte.net/ontological-software-text-mining}
}

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The acceptance rate at NLDB 2007 was 28%.

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