Standard

PyDriller: Python Framework for Mining Software Repositories. / Spadini, Davide; Aniche, Maurício; Bacchelli, Alberto.

The 26th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE). 2018.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Spadini, D, Aniche, M & Bacchelli, A 2018, PyDriller: Python Framework for Mining Software Repositories. in The 26th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE). https://doi.org/10.1145/3236024.3264598

APA

Spadini, D., Aniche, M., & Bacchelli, A. (Accepted/In press). PyDriller: Python Framework for Mining Software Repositories. In The 26th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) https://doi.org/10.1145/3236024.3264598

Vancouver

Spadini D, Aniche M, Bacchelli A. PyDriller: Python Framework for Mining Software Repositories. In The 26th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE). 2018 https://doi.org/10.1145/3236024.3264598

Author

Spadini, Davide ; Aniche, Maurício ; Bacchelli, Alberto. / PyDriller: Python Framework for Mining Software Repositories. The 26th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE). 2018.

BibTeX

@inproceedings{5985f510058b4f7993b0c30730f561d9,
title = "PyDriller: Python Framework for Mining Software Repositories",
abstract = "Software repositories contain historical and valuable information about the overall development of software systems. Mining software repositories (MSR) is nowadays considered one of the most interesting growing fields within software engineering. MSR focuses on extracting and analyzing data available in software repositories to uncover interesting, useful, and actionable information about the system. Even though MSR plays an important role in software engineering research, few tools have been created and made public to support developers in extracting information from Git repository. In this paper, we present PyDriller, a Python Framework that eases the process of mining Git. We compare our tool against the state-of-the-art Python Framework GitPython, demonstrating that PyDriller can achieve the same results with, on average, 50{\%} less LOC and significantly lower complexity.URL: https://github.com/ishepard/pydrillerMaterials: https://doi.org/10.5281/zenodo.1327363Pre-print: https://doi.org/10.5281/zenodo.1327411",
author = "Davide Spadini and Maur{\'i}cio Aniche and Alberto Bacchelli",
year = "2018",
doi = "10.1145/3236024.3264598",
language = "English",
booktitle = "The 26th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE)",

}

RIS

TY - GEN

T1 - PyDriller: Python Framework for Mining Software Repositories

AU - Spadini, Davide

AU - Aniche, Maurício

AU - Bacchelli, Alberto

PY - 2018

Y1 - 2018

N2 - Software repositories contain historical and valuable information about the overall development of software systems. Mining software repositories (MSR) is nowadays considered one of the most interesting growing fields within software engineering. MSR focuses on extracting and analyzing data available in software repositories to uncover interesting, useful, and actionable information about the system. Even though MSR plays an important role in software engineering research, few tools have been created and made public to support developers in extracting information from Git repository. In this paper, we present PyDriller, a Python Framework that eases the process of mining Git. We compare our tool against the state-of-the-art Python Framework GitPython, demonstrating that PyDriller can achieve the same results with, on average, 50% less LOC and significantly lower complexity.URL: https://github.com/ishepard/pydrillerMaterials: https://doi.org/10.5281/zenodo.1327363Pre-print: https://doi.org/10.5281/zenodo.1327411

AB - Software repositories contain historical and valuable information about the overall development of software systems. Mining software repositories (MSR) is nowadays considered one of the most interesting growing fields within software engineering. MSR focuses on extracting and analyzing data available in software repositories to uncover interesting, useful, and actionable information about the system. Even though MSR plays an important role in software engineering research, few tools have been created and made public to support developers in extracting information from Git repository. In this paper, we present PyDriller, a Python Framework that eases the process of mining Git. We compare our tool against the state-of-the-art Python Framework GitPython, demonstrating that PyDriller can achieve the same results with, on average, 50% less LOC and significantly lower complexity.URL: https://github.com/ishepard/pydrillerMaterials: https://doi.org/10.5281/zenodo.1327363Pre-print: https://doi.org/10.5281/zenodo.1327411

U2 - 10.1145/3236024.3264598

DO - 10.1145/3236024.3264598

M3 - Conference contribution

BT - The 26th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE)

ER -

ID: 46004736