# 20-MAD -- 20 Years of Issues and Commits of Mozilla and Apache Development

arXiv: https://arxiv.org/abs/2003.14015 · HTML: https://mlsanity.com/paper/2003.14015/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 31 Mar 2020.

## Built on by (most cited first, 3 of 3)

- [RefAgent: A Multi-agent LLM-based Framework for Automatic Software Refactoring](https://mlsanity.com/paper/2511.03153/) (2025)
- [Automated Recovery of Issue-Commit Links Leveraging Both Textual and Non-textual Data](https://mlsanity.com/paper/2107.01894/) (2021)
- [PENTACET data -- 23 Million Contextual Code Comments and 250,000 SATD comments](https://mlsanity.com/paper/2303.14029/) (2023)

## Abstract (arXiv)

Data of long-lived and high profile projects is valuable for research on successful software engineering in the wild. Having a dataset with different linked software repositories of such projects, enables deeper diving investigations. This paper presents 20-MAD, a dataset linking the commit and issue data of Mozilla and Apache projects. It includes over 20 years of information about 765 projects, 3.4M commits, 2.3M issues, and 17.3M issue comments, and its compressed size is over 6 GB. The data contains all the typical information about source code commits (e.g., lines added and removed, message and commit time) and issues (status, severity, votes, and summary). The issue comments have been pre-processed for natural language processing and sentiment analysis. This includes emoticons and valence and arousal scores. Linking code repository and issue tracker information, allows studying individuals in two types of repositories and provide more accurate time zone information for issue trackers as well. To our knowledge, this the largest linked dataset in size and in project lifetime that is not based on GitHub.