Skip to main content

Samuel Abedu

I am Samuel, a Software Engineering PhD student under Dr Emad Shihab's supervision at Concordia University. I had my master's and bachelor's degrees from the University of Ghana and the University of Cape Coast respectively. I previously worked as a software engineer, where I was involved in planning, designing, developing and deploying software products. My research interests are in empirical software engineering, mining software repositories, software engineering for AI systems and explainable AI models for software engineering.

Publications​

Journals

  • S. Abedu, S. Khatoonabadi, and E. Shihab, "Synergizing LLMs and Knowledge Graphs: A Novel Approach to Software Repository-Related Question Answering," in ACM Transactions on Software Engineering and Methodology, 2026
    PDF
  • J. Latendresse, S. Abedu, A. Abdellatif, and E. Shihab, "An Exploratory Study on Machine Learning Model Management," in ACM Transactions on Software Engineering and Methodology, 2024
    PDF

Conferences

  • O. Oyelayo, S. Abedu, S. Khatoonabadi, and E. Shihab, "Developer Challenges in the Adoption of Model Context Protocol in AI Agent Development," in Proceedings of the 2026 IEEE/ACM 7th International Workshop on Bots and Agents in Software Engineering (BoatSE), 2026
    PDF
  • S. Abedu, S. Owolabi, M. S. Ruiz Rodriguez, A. Yuen, C. Lim Ah Tock, A. Zaraket, A. Abdellatif, E. Shihab, and N. Nasseri, "Experiences Developing an AI Chatbot in the Pharmaceutical Industry," in Proceedings of the 2026 IEEE/ACM 7th International Workshop on Bots and Agents in Software Engineering (BoatSE), 2026
    PDF
  • S. Abedu, L. Menneron, S. Khatoonabadi, and E. Shihab, "RepoChat: An LLM-Powered Chatbot for GitHub Repository Question-Answering," in Proceedings of the 2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR), 2025
    PDF
  • S. Abedu, A. Abdellatif, and E. Shihab, "LLM-Based Chatbots for Mining Software Repositories: Challenges and Opportunities," in Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering (EASE 2024), 2024
    PDF

Publications Before Joining DAS​

  • S. A. Brown, B. A. Weyori, A. F. Adekoya, P. K. Kudjo, S. Mensah, and S. Abedu, “DeepLaBB: A Deep Learning Framework for Blocking Bugs,” in 2021 International Conference on Cyber Security and Internet of Things (ICSIoT), (2021). (Link)

Awards​

  • Concordia University International Tuition Award of Excellence 2022
  • Concordia Conference and Exposition Allowance 2024

Contact​

Data-driven Analysis of Software (DAS) Lab
Department of Computer Science and Software Engineering
Concordia University

ER 11.57
2115 Rue Guy
Montreal, QC H3H 2L9