Department of Computer Science
University of Nevada, Las Vegas
I am a PhD Candidate and Graduate Assistant in the Department of Computer Science at the University of Nevada, Las Vegas (UNLV), working in the Software Evolution (EVOL) Lab under the supervision of Professor John Businge. I hold an MSc in Computer Science from Makerere University, Uganda (advised by Dr. Joyce Nakatumba-Nabende and Prof. Michel R.V. Chaudron) and a BSc in Computer Science from Gulu University, Uganda. My research lies at the intersection of Empirical Software Engineering and Agentic AI, with publications in venues including ASE, SCAM, MSR, AIware, MSR, EMSE. I also serve the research community as a reviewer in several top tier software engineering conferences and journals e.g MSR, ESEC/FSE, ICSME, ISSAT, ASE, ACM TOCE, Springer Nature Scientific Reports, Elsevier Data in Brief, the Journal of Advances in Information Technology, etc.
"And you will know the truth, and the truth will set you free." — John 8:32
Education
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University of Nevada, Las VegasDepartment of Computer SciencePhD CandidateAug. 2023 - present -
Makerere University, UgandaCollege of Computing and Information SciencesMSc in Computer Science2019 - 2021 -
Gulu University, UgandaDepartment of Computer ScienceBSc in Computer Science2010 - 2013
Experience
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University of Nevada, Las Vegas (UNLV)Department of Computer ScienceGraduate Research/Teaching Assistant2023 - present
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AirQo Project, Makerere UniversityGoogle.org fundedPh.D. Research Fellow2023 - present -
Gulu University, UgandaDepartment of Computer ScienceAssistant Lecturer2022 - 2023
Awards & Grants
News
Selected Publications (view all )
Patchtrack: a comprehensive analysis of chatgpt’s influence on pull request outcomes
Daniel Ogenrwot, John Businge
AIware 2026 — Benchmark & Dataset Track (co-located with FSE 2026) 2026
The rapid adoption of large language models (LLMs) like ChatGPT has introduced new dynamics in software development, particularly within pull request workflows. We analyze 338 pull requests from 255 GitHub repositories containing self-admitted ChatGPT usage, comprising 645 AI-generated snippets and 3,486 developer-authored patches.
Patchtrack: a comprehensive analysis of chatgpt’s influence on pull request outcomes
Daniel Ogenrwot, John Businge
AIware 2026 — Benchmark & Dataset Track (co-located with FSE 2026) 2026
The rapid adoption of large language models (LLMs) like ChatGPT has introduced new dynamics in software development, particularly within pull request workflows. We analyze 338 pull requests from 255 GitHub repositories containing self-admitted ChatGPT usage, comprising 645 AI-generated snippets and 3,486 developer-authored patches.
AgenticFlict: A Large-Scale Dataset of Merge Conflicts in AI Coding Agent Pull Requests on GitHub
Daniel Ogenrwot, John Businge
AIware 2026 — Benchmark & Dataset Track (co-located with FSE 2026) 2026
Large-scale dataset of 142K+ agentic pull requests from 59K+ repositories, identifying 29K PRs with merge conflicts and extracting 336K+ fine-grained conflict regions across AI coding agents (Copilot, Devin, Cursor, and others).
AgenticFlict: A Large-Scale Dataset of Merge Conflicts in AI Coding Agent Pull Requests on GitHub
Daniel Ogenrwot, John Businge
AIware 2026 — Benchmark & Dataset Track (co-located with FSE 2026) 2026
Large-scale dataset of 142K+ agentic pull requests from 59K+ repositories, identifying 29K PRs with merge conflicts and extracting 336K+ fine-grained conflict regions across AI coding agents (Copilot, Devin, Cursor, and others).
Refactoring-Aware Patch Integration Across Structurally Divergent Java Forks
Daniel Ogenrwot, John Businge
2025 IEEE International Conference on Source Code Analysis & Manipulation (SCAM) 2025 Distinguished Artifact Award
RePatch addresses structural drift in divergent software variants through refactoring-aware patch integration, achieving 52.8% success on previously failing patches.
Refactoring-Aware Patch Integration Across Structurally Divergent Java Forks
Daniel Ogenrwot, John Businge
2025 IEEE International Conference on Source Code Analysis & Manipulation (SCAM) 2025 Distinguished Artifact Award
RePatch addresses structural drift in divergent software variants through refactoring-aware patch integration, achieving 52.8% success on previously failing patches.
PatchTrack: Analyzing ChatGPT's Impact on Software Patch Decision-Making in Pull Requests
Daniel Ogenrwot, John Businge
39th IEEE/ACM International Conference on Automated Software Engineering (ASE) 2024
Empirical study investigating how ChatGPT-generated patches influence pull request acceptance decisions, examining 338 pull requests across open-source projects.
PatchTrack: Analyzing ChatGPT's Impact on Software Patch Decision-Making in Pull Requests
Daniel Ogenrwot, John Businge
39th IEEE/ACM International Conference on Automated Software Engineering (ASE) 2024
Empirical study investigating how ChatGPT-generated patches influence pull request acceptance decisions, examining 338 pull requests across open-source projects.