Year: 2020
Type: article
Abstract: 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.
Source: Cumhuriyet Science Journal
DOI: 10.17776/csj.728932
Authors: Abdulkadir ŞEKER, Banu DİRİ, Halil ARSLAN, Fatih AMASYALI
Institutions: Sivas Cumhuriyet Üniversitesi, Yıldız Technical University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W3035118068