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Sentiment analysis for software engineering: how far can we go?

Bin Lin, Fiorella Zampetti, Gabriele Bavota, Massimiliano Di Penta, Michele Lanza, Rocco Oliveto

Abstract

Sentiment analysis has been applied to various software engineering (SE) tasks, such as evaluating app reviews or analyzing developers' emotions in commit messages. Studies indicate that sentiment analysis tools provide unreliable results when used out-of-the-box, since they are not designed to process SE datasets. The silver bullet for a successful application of sentiment analysis tools to SE datasets might be their customization to the specific usage context.

BibTeX
@inproceedings{Lin-al:ICSE18,
  author    = {Bin Lin and
               Fiorella Zampetti and
               Gabriele Bavota and
               Massimiliano Di Penta and
               Michele Lanza and
               Rocco Oliveto},
  title     = {Sentiment analysis for software engineering: how far can we go?},
  booktitle = {ICSE},
  pages     = {94--104},
  publisher = {{ACM}},
  year      = {2018},
}

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