Studying software evolution using topic models

@article{Thomas2014StudyingSE,
  title={Studying software evolution using topic models},
  author={Stephen W. Thomas and Bram Adams and Ahmed E. Hassan and Dorothea Blostein},
  journal={Sci. Comput. Program.},
  year={2014},
  volume={80},
  pages={457-479}
}
Topic models are generative probabilistic models which have been applied to information retrieval to automatically organize and provide structure to a text corpus. Topic models discover topics in the corpus, which represent real world concepts by frequently cooccurring words. Recently, researchers found topics to be effective tools for structuring various software artifacts, such as source code, requirements documents, and bug reports. This research also hypothesized that using topics to… CONTINUE READING
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