One paper accepted by CSCW 2026!

Published: Apr 16, 2026 by Hongyun Chen

Hengzhi’s study on collaborative development paradigm divergence between open source software and open source AI models is accepted by CSCW 2026. Congratulations to Hengzhi!

This work presents the first systematic, large-scale study comparing collaborative development paradigms between traditional open source software (OSS) and open source AI models (OSM). Analyzing over 2.8 million repositories and combining statistical, social network, and interview-based methods, the paper uncovers fundamental differences in collaboration intensity, openness, and user innovation between the two ecosystems. As AI development increasingly embraces open-source practices, this research fills a critical knowledge gap and lays an empirical foundation for understanding and improving collaborative AI development.

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One paper accepted by CSCW 2026!

Hengzhi’s study on collaborative development paradigm divergence between open source software and open source AI models is accepted by CSCW 2026. Congratulations to Hengzhi!

One paper accepted by FSE 2026!

Ziheng’s study on cross-ecosystem software composition analysis is accepted by FSE 2026 Tool Demonstrations Track. Congratulations to Ziheng!

Changguo's SIT Tool Integrated into GitHub & AtomGit

To address the widespread issues of inaccuracy, non-compliance, and incompleteness in the SBOMs generated by existing mainstream tools, we design and implement an automated SBOM generation tool based on incremental construction.