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