Wed 7 Nov 2018 11:37 - 12:00 at Spring Lake - Mining Chair(s): Peter Rigby

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/pydriller Materials: https://doi.org/10.5281/zenodo.1327363 Pre-print: https://doi.org/10.5281/zenodo.1327411

Wed 7 Nov

fse-2018-Demonstration
10:30 - 12:00: Demonstrations - Mining at Spring Lake
Chair(s): Peter RigbyConcordia University, Montreal, Canada
fse-2018-Demonstration10:30 - 10:52
Talk
Tien-Duy B. LeSchool of Information Systems, Singapore Management University, Lingfeng Bao Zhejiang University City College, David LoSingapore Management University
fse-2018-Demonstration10:52 - 11:15
Talk
Han Liu, Zhiqiang YangTsinghua University, Chao Liu, Yu Jiang, Wenqi ZhaoAnt Financial, Jiaguang Sun
fse-2018-Demonstration11:15 - 11:37
Talk
Cuiyun GaoComputer Science and Engineering, The Chinese University of Hong Kong, Jichuan Zeng, David LoSingapore Management University, Chin-Yew LinMicrosoft, Michael Lyu, Irwin King
Pre-print
fse-2018-Demonstration11:37 - 12:00
Talk
Davide SpadiniDelft University of Technology, Netherlands, Maurício AnicheDelft University of Technology, Netherlands, Alberto BacchelliUniversity of Zurich
Pre-print