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Ph.D Candidate

Steve Feng 冯子轩

Email: fengzi@oregonstate.edu
Web: https://zixuanfeng.github.io/zixuanfeng_page/


My name is Zixuan (Steve) Feng. I am pursing Ph.D., advised by Anita Sarma in the Department of Electrical Engineering Computer Science and Statistics at Oregon State University (OSU). I work at the intersection of Software Engineering (SE), Computer Supported Cooperative Work (CSCW), and Human-Computer Interaction (HCI). I am particularly interested in (1) developing an empirical understanding of the collaboration in OSS and the challenges that this socio-technical ecosystem faces in attracting and retaining contributors, (2) understanding how humans make decisions when engaging with interfaces, particularly programming interfaces (e.g., Jupyter Notebook), and (3) designing interventions to improve the state of Diversity and Inclusion in OSS and increase contributor recruitment and retention.

Publications

Promoting and Studying Diversity, Equity, and Inclusion in the ASF Community (Full report)

September 2023


  • Zixuan Feng
  • Apache Software Foundation Reports and Statements
  • Read blog here

The State of Survival in OSS: the Impact of Diversity

3 - 9 December 2023


  • Zixuan Feng
  • ESEC/FSE 2023 in San Francisco (ESEC/FSE 2023)
  • Conference

OSS Unsung Heroes: Crafting Productive Communities invisibly

2 - 6 April 2023


  • Zixuan Feng
  • IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2023)
  • Conference

How to Support ML End-User Programmers through a Conversational Agent

14 - 20 April 2024


  • Emily Arteaga Garcia, João Felipe Pimentel, Zixuan Feng, Marco Gerosa, Igor Steinmacher, Anita Sarma
  • The 46th International Conference on Software Engineering (ICSE 2024)
  • Conference
  • First round acceptance rate: 6%

The State of Diversity and Inclusion in Apache: A Pulse Check

14 - 15 May 2023


  • Zixuan Feng, Mariam Guizani, Marco Gerosa, Anita Sarma
  • The 16th International Conference on Cooperative and Human Aspects of Software Engineering (CHASE 2023)
  • Conference
  • Acceptance rate: 30%

A Case Study of Implicit Mentoring, its Prevalence, and Impact in Apache

Mon 14 - Fri 18 November 2022


  • Zixuan Feng, Amreeta Chatterjee, Anita Sarma, Iftekhar Ahmed
  • ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE)
  • Conference
  • Acceptance rate: 22%

Implicit Mentoring: The Unacknowledged Developer Efforts in Open Source

Feb 23 2022


  • Zixuan Feng, Amreeta Chatterjee, Anita Sarma, Iftekhar Ahmed

Tech Report: Rumble Strip Design Analysis to Contribute to Low Exterior Noise Using Finite Element Modeling

Aug 2022


  • Zixuan Feng is listed as the first author of the paper in Appendix A and as the second author of the paper in Appendix B.

TALK

Linux Plumber Conference (Linux 2023)

OSS Empowering Engagement: Introducing a Dynamic Dashboard for Proactive Retention Strategies

  • Industrial conference

  • Graduate Consortium (VL/HCC 2024)

    OSS Unsung Heroes: Crafting Productive Communities invisibly

  • Academic conference

  • The first Free and Open Source Software Yearly conference (FOSSY 2023)

    From Conversations to Action: Creating a healthy, diverse open source community

  • Industrial conference

  • Research talk (ESEC/FSE 2022)

    A Case Study of Implicit Mentoring, its Prevalence, and Impact in Apache (ESEC/FSE 2022)

  • Academic Conference

  • SERVICE

    Proceeding service

    IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2024): Proceedings Chair


    Paper Sub-reviewer

    ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2023)


    46th International Conference on Software Engineering (ICSE 2024)

    Graduate Research Assistant

    Summer 2021 - Present


      My research focuses on using empirical investigations to gain knowledge of how software developers collaborate. My goal is to design and strategy to build software methodologies that will assist software engineers and teams in becoming more productive.

    Graduate Teaching Assistant

    Winter 2019 - Summer 2021


      Teaching Experience:

    • CS 453/553 Scientific Visualization
    • CS 444/544 Operating System II
    • CS 458 Information Visualization
    • ST 201 Principles of Statistics

    Graduate Research Assistant

    Summer 2018 - Fall 2020


    The project was funded by Oregon Department of Transportation

    • Data Processing, Analysis, Visualization (Python, Bash, C++, OpenGL, Gephi)
    • Numerical Modeling (Finite Element Analysis, ABAQUS)
    • Statistical Modeling (R programming, MATLAB)

    Technical Report Submission: see publications

    Mentor (High School Students)

    Saturday Academy's Apprenticeships in Science and Engineering Program in affiliation with University of Portland.

    Summer 2021

    Mathematics and Computer Science Tutor

    Fall 2017 - Fall 2018


    Oregon State University, INTO Learning Center

    • Mathematics Tutor
    • GRE Guantitative Tutor
    • Academic Writing Tutor
    • Registered TOFEL TEST Proctor

    Education

    Oregon State University

    Fall 2020 - Present

    Ph.D - 3.88 GPA


    Oregon State University

    Fall 2018 - Fall 2020

    Master of Engineering. Compute Science - 3.88 GPA


    Oregon State University

    Fall 2013 - Summer 2018

    BS. Compute Science - 3.52 GPA