MSR 2016 data showcase - Mining Code Review Repositories
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Mining the Modern Code Review Repositories: A Dataset of People, Process and Product Xin Yang Raula G. Kula Norihiro Yoshida Hajimu Iida May 14–15, 2016. Austin, Texas MSR 2016 data showcase Osaka University Japan Nagoya University Japan NAIST Japan NAIST Japan
Transcript of MSR 2016 data showcase - Mining Code Review Repositories
Mining the Modern Code Review Repositories: A Dataset of People, Process and Product
Xin Yang Raula G. Kula Norihiro Yoshida Hajimu Iida
May 14–15, 2016. Austin, Texas
MSR 2016 data showcase
Osaka University Japan
Nagoya University Japan
NAISTJapan
NAISTJapan
A Code Review Dataset
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Code Review
Source Code
Human / Social (anonymized usernames and email addresses)
Why we made this dataset?
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*Hamasaki et al., “Who does what during a code review? datasets of OSS peer review repositories”. MSR '13
Our previous work (Hamasaki et al. MSR '13)*
Our previous work (Hamasaki et al. MSR '13)*
Why we made this dataset?
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Some feedback:“Hard to query...”“Hard to convert...”“Unable to access the source code...”
*Hamasaki et al., “Who does what during a code review? datasets of OSS peer review repositories”. MSR '13
Our previous work (Hamasaki et al. MSR '13)*
Why we made this dataset?
2
Some feedback:“Hard to query...”“Hard to convert...”“Unable to access the source code...”
*Hamasaki et al., “Who does what during a code review? datasets of OSS peer review repositories”. MSR '13
*Hamasaki et al., “Who does what during a code review? datasets of OSS peer review repositories”. MSR '13
Our previous work (Hamasaki et al. MSR '13)*
Some feedback:“Hard to query...”“Hard to convert...”“Unable to access the source code...”
Why we made this dataset?
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★ Easy to query / analyze★ Easy to export / convert★ Able to access the source code
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Modern Code Review (MCR) Key Attributes
Large Codebases
(Repositories)
High Volume Submissions
(Patches)
LargeCommunities(Participants)
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The Concept
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Process
Product
People
The Concept
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4 years 3 years 7 years 4 years 3 years
611 20 567 111 189
173,749 13,597 63,610 110,172 9,168
5,091 437 3,334 1,437 759
Dataset Statistics (updated to May 2015)
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Dataset Schema (Check our wiki for details)
★ Promote peer review research and link to other research topics
★ Encourage researchers to use this as a benchmark of techniques and different approaches
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Our Goals
