Open Source Software Data Analytics Lab

Software Engineering Institute, Peking University

Introduction

We are a research group at the School of Computer Science, Peking University. Our research belongs to the Software Engineering field, which focuses on improving the efficiency and quality of software development. The software engineering community pursues this goal in diverse ways. We often take a data-driven approach, observing development as it happens and summarizing practices from experience, to build theories and mechanisms. We often use diverse methodologies and invent intelligent techniques to help understand and control complex systems and their development.

We publish in software engineering, human-computer interaction, and AI conferences and journals. See the CCF list for top venues in this field. See Publications for our latest publications.

Current Research Topics

  1. Agentic Coding in Software Development. How coding agents are reshaping today’s collaborative software development.
  2. Software Development for Agentic Coding. Harnessing software development data for more efficient agentic coding.
  3. Open Source Supply Chain Analytics. Modeling and securing software and AI model supply chains, spanning dependencies, vulnerabilities, and SBOMs.
  4. Open Source Governance. Studying human and organizational factors in open source.
  5. Open Source Licensing. Improving license compliance through variant detection and conflict resolution.
  6. Developer and Ecosystem Profiling. Measuring expertise, behavior, and incentives across developers, projects, and ecosystems.

For Prospective Students

We are constantly looking for self-motivated students with sufficient programming skills. Students with strong interest in mining big data, exploring open source and making a better world are extremely welcome. Industry experience and rich software development skills will be a great advantage. Background in software engineering, statistics, visualization, data mining, and AI might help you prosper in this field.

Contact Professor Zhou Minghui for details about PhD openings and undergraduate internship opportunities.

Industry Collaborators

Huawei
Baidu
ByteDance
Microsoft

Contact

Address: Room 1537, Science Building No. 1, Peking University, Beijing, China

Latest Posts

One paper accepted by ASE 2026!

Wenhao and Runzhi’s study on how open-source projects govern GenAI contributions has been accepted by the Research Papers track of the 41st IEEE/ACM International Conference on Automated Software Engineering (ASE 2026). Congratulations to Wenhao and Runzhi!

One paper accepted by TOSEM!

Haiqiao’s study on understanding the characteristics and rationale of library migrations in the C/C++ ecosystem is accepted by TOSEM. Congratulations to Haiqiao!

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!