Misc.

Oct 16, 2019

From Academia to Software Development: Publication Citations in Source Code Comments

  • Akira Inokuchi
  • ,
  • Yusuf Sulistyo Nugroho
  • ,
  • Fumiaki Konishi
  • ,
  • Hideaki Hata
  • ,
  • Akito Monden
  • ,
  • Kenichi Matsumoto

Language
Publishing type
Internal/External technical report, pre-print, etc.

Academic publications have been evaluated with the impact on research<br />
communities based on the number of citations. On the other hand, the impact of<br />
academic publications on industry has been rarely studied. This paper<br />
investigates how academic publications contribute to software development by<br />
analyzing publication citations in source code comments in open source software<br />
repositories. We propose an automated approach of detecting academic<br />
publications based on Named Entity Recognition, and achieve 0.90 in $F_1$ as<br />
detection accuracy. We conduct a large-scale study of publication citations<br />
with 319,438,977 comments collected from active 25,925 repositories written in<br />
seven programming languages. Our findings indicate that academic publications<br />
can be knowledge sources of software development, and there can be potential<br />
issues of obsoleting knowledge.

Link information
arXiv
http://arxiv.org/abs/arXiv:1910.06932
URL
http://arxiv.org/abs/1910.06932v1
ID information
  • arXiv ID : arXiv:1910.06932

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