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Understanding Open Source Software Evolution Using Fuzzy Data Mining Algorithm for Time Series Data
Joint Authors
Saini, Munish
Mehmi, Sandeep
Chahal, Kuljit Kaur
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-14
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Source code management systems (such as Concurrent Versions System (CVS), Subversion, and git) record changes to code repositories of open source software projects.
This study explores a fuzzy data mining algorithm for time series data to generate the association rules for evaluating the existing trend and regularity in the evolution of open source software project.
The idea to choose fuzzy data mining algorithm for time series data is due to the stochastic nature of the open source software development process.
Commit activity of an open source project indicates the activeness of its development community.
An active development community is a strong contributor to the success of an open source project.
Therefore commit activity analysis along with the trend and regularity analysis for commit activity of open source software project acts as an important indicator to the project managers and analyst regarding the evolutionary prospects of the project in the future.
American Psychological Association (APA)
Saini, Munish& Mehmi, Sandeep& Chahal, Kuljit Kaur. 2016. Understanding Open Source Software Evolution Using Fuzzy Data Mining Algorithm for Time Series Data. Advances in Fuzzy Systems،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1095020
Modern Language Association (MLA)
Saini, Munish…[et al.]. Understanding Open Source Software Evolution Using Fuzzy Data Mining Algorithm for Time Series Data. Advances in Fuzzy Systems No. 2016 (2016), pp.1-13.
https://search.emarefa.net/detail/BIM-1095020
American Medical Association (AMA)
Saini, Munish& Mehmi, Sandeep& Chahal, Kuljit Kaur. Understanding Open Source Software Evolution Using Fuzzy Data Mining Algorithm for Time Series Data. Advances in Fuzzy Systems. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1095020
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1095020