Choosing an NLP Library for Analyzing Software Documentation: A Systematic Literature Review and a Series of Experiments

@article{Omran2017ChoosingAN,
  title={Choosing an NLP Library for Analyzing Software Documentation: A Systematic Literature Review and a Series of Experiments},
  author={Fouad Nasser A. Al Omran and Christoph Treude},
  journal={2017 IEEE/ACM 14th International Conference on Mining Software Repositories (MSR)},
  year={2017},
  pages={187-197}
}
To uncover interesting and actionable information from natural language documents authored by software developers, many researchers rely on "out-of-the-box" NLP libraries. However, software artifacts written in natural language are different from other textual documents due to the technical language used. In this paper, we first analyze the state of the art through a systematic literature review in which we find that only a small minority of papers justify their choice of an NLP library. We… CONTINUE READING
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