Summarising big data: public GitHub dataset for software engineering challenges


Şeker A. , Diri B., Arslan H. , Amasyalı M. F.

Cumhuriyet Science Journal, cilt.41, sa.3, ss.720-724, 2020 (Diğer Kurumların Hakemli Dergileri)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 41 Konu: 3
  • Basım Tarihi: 2020
  • Doi Numarası: 10.17776/csj.728932
  • Dergi Adı: Cumhuriyet Science Journal
  • Sayfa Sayıları: ss.720-724

Özet

In open-source software development environments; textual, numerical, and relationship-based data generated are of interest to researchers. Various data sets are available for this data, which is frequently used in areas such as software engineering and natural language processing. However, since these data sets contain all the data in the environment, the problem arises in the terabytes of data processing. For this reason, almost all of the studies using GitHub data use filtered data according to certain criteria. In this context, using a different data set in each study makes a comparison of the accuracy of the studies quite difficult. In order to solve this problem, a common dataset was created and shared with the researchers, which would allow to work on many software engineering problems.