DocumentCode
151478
Title
Defect Collection and Reporting System for Git based Open Source Software
Author
Malhotra, Ravish ; Pritam, Nakul ; Nagpal, Kanishk ; Upmanyu, Prakarsh
Author_Institution
Dept. of Comput. Eng., Delhi Technol. Univ., Daulatpur, India
fYear
2014
fDate
5-6 Sept. 2014
Firstpage
1
Lastpage
7
Abstract
This paper describes Defect Collection and Reporting System which is an automated tool that aids in generating various reports to provide useful information regarding the defects which were present in a given version of a Git Version Control System based Open Source Software and were fixed in the subsequent version. The generated reports contain information such as the total number of defects, class wise and the corresponding values of different OO metrics for each class in the source code. Such kind of defect data can be readily used for defect prediction hypothesis pertaining to Git based Open Source Software. Some potential fields of application could be analysis and validation of the effect of a given metric suite on fault proneness; to predict fault proneness models for Defect Prediction, etc. In addition to the core functionalities and overall functioning of the above stated tool, this paper also gives an overview of some of the functionalities which might be useful for the end user, namely- cloning of Git Repositories, and self-logging data of the tool.
Keywords
configuration management; software fault tolerance; software metrics; source code (software); Git repositories; Git version control system based open source software; OO metrics; automated tool; defect collection and reporting system; defect prediction hypothesis; fault proneness models; self-logging data; source code; Androids; Control systems; Humanoid robots; Java; Measurement; Open source software; Cloning; Defect Collection; Git; Metrics; Open Source; Self-logging;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining and Intelligent Computing (ICDMIC), 2014 International Conference on
Conference_Location
New Delhi
Print_ISBN
978-1-4799-4675-4
Type
conf
DOI
10.1109/ICDMIC.2014.6954234
Filename
6954234
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