MetricMiner: Supporting researchers in mining software repositories

Francisco Zigmund Sokol; Mauricio Finavaro Aniche; Marco Aurélio Gerosa

doi:10.1109/SCAM.2013.6648195

MetricMiner: Supporting researchers in mining software repositories

Francisco Zigmund Sokol, Mauricio Finavaro Aniche, Marco Aurélio Gerosa

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

24 Scopus citations

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.

Original language	English (US)
Title of host publication	IEEE 13th International Working Conference on Source Code Analysis and Manipulation, SCAM 2013
Publisher	IEEE Computer Society
Pages	142-146
Number of pages	5
ISBN (Print)	9781467357395
DOIs	https://doi.org/10.1109/SCAM.2013.6648195
State	Published - 2013
Externally published	Yes
Event	2013 IEEE 13th International Working Conference on Source Code Analysis and Manipulation, SCAM 2013 - Eindhoven, Netherlands Duration: Sep 22 2013 → Sep 23 2013

Publication series

Name	IEEE 13th International Working Conference on Source Code Analysis and Manipulation, SCAM 2013

Conference

Conference	2013 IEEE 13th International Working Conference on Source Code Analysis and Manipulation, SCAM 2013
Country/Territory	Netherlands
City	Eindhoven
Period	9/22/13 → 9/23/13

Keywords

code metrics
mining software repositories
supporting tool

ASJC Scopus subject areas

Software

Access to Document

10.1109/SCAM.2013.6648195

Cite this

Sokol, F. Z., Aniche, M. F., & Gerosa, M. A. (2013). MetricMiner: Supporting researchers in mining software repositories. In IEEE 13th International Working Conference on Source Code Analysis and Manipulation, SCAM 2013 (pp. 142-146). Article 6648195 (IEEE 13th International Working Conference on Source Code Analysis and Manipulation, SCAM 2013). IEEE Computer Society. https://doi.org/10.1109/SCAM.2013.6648195

MetricMiner: Supporting researchers in mining software repositories. / Sokol, Francisco Zigmund; Aniche, Mauricio Finavaro; Gerosa, Marco Aurélio.
IEEE 13th International Working Conference on Source Code Analysis and Manipulation, SCAM 2013. IEEE Computer Society, 2013. p. 142-146 6648195 (IEEE 13th International Working Conference on Source Code Analysis and Manipulation, SCAM 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sokol, FZ, Aniche, MF & Gerosa, MA 2013, MetricMiner: Supporting researchers in mining software repositories. in IEEE 13th International Working Conference on Source Code Analysis and Manipulation, SCAM 2013., 6648195, IEEE 13th International Working Conference on Source Code Analysis and Manipulation, SCAM 2013, IEEE Computer Society, pp. 142-146, 2013 IEEE 13th International Working Conference on Source Code Analysis and Manipulation, SCAM 2013, Eindhoven, Netherlands, 9/22/13. https://doi.org/10.1109/SCAM.2013.6648195

Sokol FZ, Aniche MF, Gerosa MA. MetricMiner: Supporting researchers in mining software repositories. In IEEE 13th International Working Conference on Source Code Analysis and Manipulation, SCAM 2013. IEEE Computer Society. 2013. p. 142-146. 6648195. (IEEE 13th International Working Conference on Source Code Analysis and Manipulation, SCAM 2013). doi: 10.1109/SCAM.2013.6648195

Sokol, Francisco Zigmund ; Aniche, Mauricio Finavaro ; Gerosa, Marco Aurélio. / MetricMiner : Supporting researchers in mining software repositories. IEEE 13th International Working Conference on Source Code Analysis and Manipulation, SCAM 2013. IEEE Computer Society, 2013. pp. 142-146 (IEEE 13th International Working Conference on Source Code Analysis and Manipulation, SCAM 2013).

@inproceedings{8eb2e9eab68b4dd4a633aab1d6cf7e16,

title = "MetricMiner: Supporting researchers in mining software repositories",

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 = "code metrics, mining software repositories, supporting tool",

author = "Sokol, {Francisco Zigmund} and Aniche, {Mauricio Finavaro} and Gerosa, {Marco Aur{\'e}lio}",

year = "2013",

doi = "10.1109/SCAM.2013.6648195",

language = "English (US)",

isbn = "9781467357395",

series = "IEEE 13th International Working Conference on Source Code Analysis and Manipulation, SCAM 2013",

publisher = "IEEE Computer Society",

pages = "142--146",

booktitle = "IEEE 13th International Working Conference on Source Code Analysis and Manipulation, SCAM 2013",

note = "2013 IEEE 13th International Working Conference on Source Code Analysis and Manipulation, SCAM 2013 ; Conference date: 22-09-2013 Through 23-09-2013",

}

TY - GEN

T1 - MetricMiner

T2 - 2013 IEEE 13th International Working Conference on Source Code Analysis and Manipulation, SCAM 2013

AU - Sokol, Francisco Zigmund

AU - Aniche, Mauricio Finavaro

AU - Gerosa, Marco Aurélio

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - code metrics

KW - mining software repositories

KW - supporting tool

UR - http://www.scopus.com/inward/record.url?scp=84891120718&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84891120718&partnerID=8YFLogxK

U2 - 10.1109/SCAM.2013.6648195

DO - 10.1109/SCAM.2013.6648195

M3 - Conference contribution

AN - SCOPUS:84891120718

SN - 9781467357395

T3 - IEEE 13th International Working Conference on Source Code Analysis and Manipulation, SCAM 2013

SP - 142

EP - 146

BT - IEEE 13th International Working Conference on Source Code Analysis and Manipulation, SCAM 2013

PB - IEEE Computer Society

Y2 - 22 September 2013 through 23 September 2013

ER -

MetricMiner: Supporting researchers in mining software repositories

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this