DocumentCode :
1952941
Title :
MetricMiner: Supporting researchers in mining software repositories
Author :
Sokol, Francisco Zigmund ; Finavaro Aniche, Mauricio ; Gerosa, Marco A.
Author_Institution :
Dept. of Comput. Sci., Univ. of Sao Paulo (USP), Sao Paulo, Brazil
fYear :
2013
fDate :
22-23 Sept. 2013
Firstpage :
142
Lastpage :
146
Abstract :
Researchers use mining software repository (MSR) techniques for studying software engineering empirically, by means of analysis of artifacts, such as source code, version control systems metadata, etc. However, to conduct a study using these techniques, researchers usually spend time collecting data and developing a complex infrastructure, which demands disk space and processing time. In this paper, we present MetricMiner, a web application aimed to support researchers in some steps of mining software repositories, such as metrics calculation, data extraction, and statistical inference. The tool also contains data ready to be analyzed, saving time and computational resources.
Keywords :
Internet; data mining; software metrics; MSR techniques; MetricMiner; Web application; complex infrastructure; computational resources; data analysis; data extraction; disk space; metrics calculation; mining software repository techniques; processing time; software engineering; source code; statistical inference; version control system metadata; Complexity theory; Conferences; Data mining; Data visualization; Databases; Measurement; Software; code metrics; mining software repositories; supporting tool;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Source Code Analysis and Manipulation (SCAM), 2013 IEEE 13th International Working Conference on
Conference_Location :
Eindhoven
Type :
conf
DOI :
10.1109/SCAM.2013.6648195
Filename :
6648195
Link To Document :
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