Yoseph - ዮሴፍ

Joseph with a Y

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I am currently a graduate student at Virginia Tech, working under the mentorship of Dr. Chris Brown in the Code World No Blanket Group. My broad research interest lies in developing AI-driven tools for software development, enriched by insights from human psychology to enhance user experience and developer efficiency.

Specifically, I focus on creating solutions that improve large-scale program comprehension and streamline onboarding processes. My work includes building adaptive, multi-agent LLM-powered visualizations that support dynamic interactions tailored to evolving user needs.

My research addresses the critical challenges developers face when navigating complex codebases, joining new teams, and collaborating in large-scale environments. By designing tools that simplify workflows and reduce cognitive overhead, I aim to bridge the gap between the mental demands of software engineering and practical development workflows.

Prior to graduate school, I worked for several years as a software developer and tech lead, where I led cross-functional projects and deepened my technical expertise. This industry experience grounds my research in real-world needs and informs my approach to building intuitive, impactful AI tools for the tech community.

updates

Jul 26, 2025 Our paper, “AutoPrint: Judging the Effectiveness of An Automatic Print Statement Debugging Tool” has been accepted to The IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2025), to be held in Raleigh, North Carolina, from October 6-10 2025.
Apr 02, 2025 Our paper, “Are We on the Same Page? Examining Developer Perception Alignment in Open Source Code Reviews,” has been accepted to the 29th International Conference on Evaluation and Assessment in Software Engineering (EASE 2025), to be held in Istanbul, Turkey, from June 17–20, 2025.
Feb 20, 2025 Thrilled to share that I’ve joined as a Program Committee (PC) Member for International Conference on Evaluation and Assessment in Software Engineering (EASE), 2025 edition.
Feb 18, 2025 Our paper title “Human and LLM-Based Resume Matching: An Observational Study” was accepted to NAACL ‘25, to be held in Albuquerque, New Mexico from April 29 to May 4, 2025
Aug 01, 2024 Our workshop paper “Automatic Bias Detection in Source Code Review” has been accepted to PPIG 2024, which will be collocated with VL/HCC this year in Liverpool, UK.

selected publications

  1. AI-Guided Exploration of Large-Scale Codebases
    Yoseph Berhanu Alebachew
    In The IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC): Graduate Consortium , Oct 2025
  2. AutoPrint: Judging the Effectiveness of An Automatic Print Statement Debugging Tool
    Minhyuk Ko, Omer Ahmed, Yoseph Berhanu Alebachew, and 1 more author
    In The IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) , Oct 2025
  3. Are We on the Same Page? Examining Developer Perception Alignment in Open Source Code Reviews
    Yoseph Berhanu Alebachew, Minhyuk Ko, and Chris Brown
    In Proceedings of the 29th International Conference on Evaluation and Assessment in Software Engineering (EASE) , Jun 2025
  4. Human and LLM-Based Resume Matching: An Observational Study
    Swanand Vaishampayan, Hunter Leary, Yoseph Berhanu Alebachew, and 5 more authors
    In Proceedings of NAACL 2025 , Apr 2025
  5. Automatic Bias Detection in Source Code Review
    Yoseph Berhanu Alebachew, and Chris Brown
    In Proceedings of PPIG 2024 , Sep 2024