Published January 20, 2023 | Version v1

Dataset: An empirical study on self-admitted technical debt in modern code review

Authors/Creators

  • 1. NAIST

Description

This data was used in the IST paper "An Empirical Study on Self-Admitted Technical Debt in Modern Code Review". The program to use this data is published in GitHub (https://github.com/Yutaro-Kashiwa/ReviewSATD_RP)
When you use this data in your research, please cite the following papers:


```
@article{Kashiwa:IST:2022:SATD_Review,
author    = {Yutaro Kashiwa and
               Ryoma Nishikawa and
               Yasutaka Kamei and
               Masanari Kondo and
               Emad Shihab and
               Ryosuke Sato and
               Naoyasu Ubayashi},
title     = {An empirical study on self-admitted technical debt in modern code
               review},
journal   = {Information and Software Technology},
volume    = {146},
pages     = {106855},
year      = {2022},
url       = {https://doi.org/10.1016/j.infsof.2022.106855},
doi       = {10.1016/j.infsof.2022.106855}
}
```

Files

Files (2.4 GB)

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md5:02e2f8a0728c0cea153d100bb4112a2b
549.5 MB Download
md5:03cd7c8db12bdfd20473a8dff92afc8a
1.9 GB Download