The document presents a dataset focused on code reviews, detailing its origins, objectives, and statistics related to the people, processes, and products involved. This dataset aims to address challenges identified in previous work, such as querying difficulties and source code accessibility. It highlights the evolution and improvement of the code review process over several years.

1. 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

2. An Overview of the Code Review Dataset
1
● Code Review
● Source Code
● Human / Social

3. Why we made this dataset?
2
*Hamasaki et al., “Who does what during a code review? datasets of OSS peer review
repositories”. MSR '13
Our JSON-based
Dataset
(Hamasaki et al. MSR'13)*

4. Our previous work
(Hamasaki et al. MSR '13)*
Why we made this dataset?
2
*Hamasaki et al., “Who does what during a code review? datasets of OSS peer review
repositories”. MSR '13
Our JSON-based
Dataset
(Hamasaki et al. MSR'13)*
Some feedback:
“Hard to query...”
“Hard to convert...”
“Unable to access the source
code...”

5. Our previous work
(Hamasaki et al. MSR '13)*
Why we made this dataset?
2
*Hamasaki et al., “Who does what during a code review? datasets of OSS peer review
repositories”. MSR '13
Our JSON-based
Dataset
(Hamasaki et al. MSR'13)*
Some feedback:
“Hard to query...”
“Hard to convert...”
“Unable to access the source
code...”
Script

6. Typical Modern Code Review Process
3

7. Process
Product
People
You can mine from three different aspects
3

8. 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)
4
</></></>

9. goo.gl/Wi4UoJ
5
Download the Dataset