Kyungmin Kim 김경민
Portrait
M.S. Student
Software Analysis & Testing Research Group (ANTS)
Logo Chungnam National University (CNU)

I am an M.S. student in the Department of Computer Science and Engineering at Chungnam National University (CNU), where I am a member of the Software Analysis & Testing Research Group (ANTS) advised by Prof. Sungho Lee.

My research focuses on automated software testing. I have previously worked on analyzing GitHub Actions workflows, and my current research explores techniques for generating effective inputs for fuzzing.

Research interests: Static Analysis GitHub Actions Automated Testing

GitHub LinkedIn
News
2026
Our paper Continuous Workflow Checker: Detecting Anti-Patterns in Real-World GitHub CI/CD Pipelines has been accepted to Information and Software Technology (IST).
Oct 20
I've started my M.S. program at Chungnam National University, joining the Software Analysis & Testing Research Group (ANTS) advised by Prof. Sungho Lee.
Mar 03
I received my B.S. in Computer Science and Engineering from Chungnam National University.
Feb 25
2025
I completed the Global Software Program at Qualcomm Institute, UC San Diego.
Feb
2024
Received the Grand Prize (대상) at the 6th SOGRA Hackathon, Chungnam National University.
Selected Publications
Continuous Workflow Checker: Detecting Anti-Patterns in Real-World GitHub CI/CD Pipelines
Continuous Workflow Checker: Detecting Anti-Patterns in Real-World GitHub CI/CD Pipelines

Kyungmin Kim, Sungho Lee

Information and Software Technology (IST), Vol. 201, 108374, 2027

We present Continuous Workflow Checker (CWC), a static analysis tool that parses GitHub Actions workflows and cross-checks them against application configuration files to detect four types of CI/CD anti-patterns. Across 1,984 widely adopted Node.js and Python projects, CWC found anti-patterns in 12.4% and 7.0% of repositories, respectively.

[paper] [preprint] [code]

Continuous Workflow Checker: Detecting Anti-Patterns in Real-World GitHub CI/CD Pipelines

Kyungmin Kim, Sungho Lee

Information and Software Technology (IST), Vol. 201, 108374, 2027

We present Continuous Workflow Checker (CWC), a static analysis tool that parses GitHub Actions workflows and cross-checks them against application configuration files to detect four types of CI/CD anti-patterns. Across 1,984 widely adopted Node.js and Python projects, CWC found anti-patterns in 12.4% and 7.0% of repositories, respectively.

[paper] [preprint] [code]

All publications
Education
  • Chungnam National University (CNU)
    Chungnam National University (CNU)
    Department of Computer Science and Engineering
    M.S. Student (Advisor: Prof. Sungho Lee)
    Mar. 2026 - present
  • Chungnam National University (CNU)
    Chungnam National University (CNU)
    Department of Computer Science and Engineering
    B.S. in Computer Science and Engineering
    Mar. 2019 - Feb. 2026
Experience
Honors & Awards
  • Grand Prize (대상), 6th SOGRA Hackathon, Chungnam National University
    2024
  • Gold Prize (금상), 11th DevDay Coding Test, Chungnam National University
    2020
  • Gold Prize (금상), 10th DevDay Coding Test, Chungnam National University
    2020