Development Emails Content Analyzer: Intention Mining in Developer Discussions (T)

@article{Sorbo2015DevelopmentEC,
  title={Development Emails Content Analyzer: Intention Mining in Developer Discussions (T)},
  author={Andrea Di Sorbo and Sebastiano Panichella and Corrado Aaron Visaggio and Massimiliano Di Penta and Gerardo Canfora and Harald C. Gall},
  journal={2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE)},
  year={2015},
  pages={12-23}
}
Written development communication (e.g. mailing lists, issue trackers) constitutes a precious source of information to build recommenders for software engineers, for example aimed at suggesting experts, or at redocumenting existing source code. In this paper we propose a novel, semi-supervised approach named DECA (Development Emails Content Analyzer) that uses Natural Language Parsing to classify the content of development emails according to their purpose (e.g. feature request, opinion asking… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 32 CITATIONS

References

Publications referenced by this paper.
SHOWING 1-10 OF 56 REFERENCES

Guhneuc, Is it a bug or an enhancement?: a text-based approach to classify change

  • G. Antoniol, K. Ayari, M. Di Penta, Y. F. Khomh
  • 2008
Highly Influential
4 Excerpts

Similar Papers

Loading similar papers…