Muhammad Auwal Abubakar, M.Sc.

Büro: WE5/03.043
Sprechzeiten: nach Terminvereinbarung
Telefon: +49 (0)951 863-2232
Email: muhammad.abubakar@uni-bamberg.de

Forschungsthemen

  • Agentic AI in Software Engineering
  • Developer Skills and Expertise

Veröffentlichungen

  • Muhammad Auwal Abubakar, Seyedmoein Mohsenimofidi, Jai Lal Lulla, Jie M. Zhang, Christoph Treude, Sebastian Baltes, and Matthias Galster. An Exploratory Study of Agent Plans for Agentic AI Coding Tools in Open-Source Software. Accepted at the 20th International Symposium on Empirical Software Engineering and Measurement (ESEM 2026), Emerging Results, Vision, and Reflection Papers Track. https://doi.org/10.48550/arXiv.2608.04661

  • Matthias Galster, Seyedmoein Mohsenimofidi, Levi Böhme, Jai Lal Lulla, Muhammad Auwal Abubakar, Christoph Treude, and Sebastian Baltes. A Dataset of Agentic AI Coding Tool Configurations. In Proceedings of the 3rd ACM International Conference on AI-Powered Software (AIware ’26), July 6–7, 2026, Montreal, QC, Canada. ACM, New York, NY, USA, 9 pages. https://doi.org/10.1145/3805760.3814922

  • Matthias Galster, Seyedmoein Mohsenimofidi, Jai Lal Lulla, Muhammad Auwal Abubakar, Christoph Treude, and Sebastian Baltes. Configuring Agentic AI Coding Tools: An Exploratory Study. In Proceedings of the 3rd ACM International Conference on AI-Powered Software (AIware ’26), July 6–7, 2026, Montreal, QC, Canada. ACM, New York, NY, USA, 10 pages. https://doi.org/10.1145/3805760.3814887

Lebenslauf

01.01.2026 - 

heute

Doktorand und wissenschaftlicher Mitarbeiter am Lehrstuhl für Experimentelle Softwaretechnik, Otto-Friedrich-Universität Bamberg
01.10.2023 - 31.01.2025MSc Internationale Wirtschaftsinformatik, Friedrich-Alexander-Universität Erlangen-Nürnberg 
18.11.2013 - 02.11.2017BSc Informatik & Informationstechnologie, Federal University Dutsin-Ma, Nigeria