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Summarising big data: public GitHub dataset for software engineering challenges
- Source :
- Volume: 41, Issue: 3 720-724, Cumhuriyet Science Journal, Cumhuriyet Science Journal, Vol 41, Iss 3, Pp 720-724 (2020)
- Publication Year :
- 2020
- Publisher :
- Cumhuriyet University, 2020.
-
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 us to work on many software engineering problems.<br />7 pages, The article was submitted to Cumhuriyet Science Journal
- Subjects :
- FOS: Computer and information sciences
Development environment
Computer science
Big data
Mühendislik
ghtorrent
GitHub,ghtorrent,big data
Context (language use)
02 engineering and technology
Terabyte
01 natural sciences
Computer Science - Software Engineering
Engineering
big data
0103 physical sciences
lcsh:Science
lcsh:Science (General)
010302 applied physics
Data processing
business.industry
General Medicine
021001 nanoscience & nanotechnology
Software Engineering (cs.SE)
Data set
github
lcsh:TA1-2040
lcsh:Q
lcsh:Engineering (General). Civil engineering (General)
0210 nano-technology
business
Software engineering
lcsh:Q1-390
Subjects
Details
- ISSN :
- 25872680 and 2587246X
- Volume :
- 41
- Database :
- OpenAIRE
- Journal :
- Cumhuriyet Science Journal
- Accession number :
- edsair.doi.dedup.....da876c27594ea327aa2ea475105836d7