Jasmin Jahić

Bachelor – Technical Computer science; Master – Robotics; PhD – Electrical and Computer Engineering

Director of Studies in Computer Science, Queens’ College and Visiting Researcher, Department of Computer Science, University of Cambridge

About me

Dr Jahić is a Director of Studies in Computer Science at Queens’ College at the University of Cambridge. He also works as a researcher at the Department of Computer Science (University of Cambridge), specialising in software systems architectures, application of artificial intelligence in software engineering, and concurrent software systems. He is a guest lecturer at the University of Kaiserslautern-Landau (Germany), where he leads a course on software architecture in embedded systems with the focus on automotive systems.

He completed his PhD at the University of Kaiserslautern, Germany and worked as a researcher and project manager at Fraunhofer Institute for Experimental Software Engineering.

He has extensive experience in EU-level projects and industry collaborations. Dr Jahić has contributed to numerous high-profile conferences and academic publications on software architecture.

He serves as a reviewer for International Conference for Software Architecture (ICSA) and Journal of Systems and Software, both premium venues for publishing research in software architecture.

Courses

Managing Software Architecture

Embrace architect-level thinking, master software design challenges and lay the foundations for lasting success in your career.

Next course: 2 Feb 2026 (8 weeks)

Generative AI in the Software Development Lifecycle

Develop a SDLC GenAI adoption roadmap aligned with your organisation’s business goals.

Next course: 2 Feb 2026 (6 weeks)

Publications

The impact of AI-Generated solutions on software architecture and productivity: Results from a survey study(Opens in a new window), Amasanti, G. & Jahić, J. (2025).European Conference on Software Architecture (ECSA 2025).
State of practice: LLMs in software engineering and software architecture(Opens in a new window), Jahić, J. & Sami, A. (2024). IEEE 21st International Conference on Software Architecture Companion (ICSA-C), 311–318.
An approach for evaluating the potential impact of anti-patterns on microservices performance(Opens in a new window), Matar, R. & Jahić, J. (2023). IEEE 20th International Conference on Software Architecture Companion, 167–170.
ACIA: A methodology for identification of architectural design patterns that support continuous integration based on continuous assessment(Opens in a new window), Helwani, F. & Jahić, J. (2022). IEEE 19th International Conference on Software Architecture, 198–205.
Knowledge-based adequacy assessment approach to support AI adoption(Opens in a new window), Jahić, J. et.al. (2021). IEEE 18th International Conference on Software Architecture Companion, 8–14.
FERA: A framework for critical assessment of execution monitoring based approaches for finding concurrency bugs(Opens in a new window), Jahić, J. et.al. (2020). Intelligent Computing. SAI 2020. Advances in Intelligent Systems and Computing, vol 1228, 54–74.
State of the practice survey: predicting the influence of AI adoption on system software architecture in traditional embedded systems(Opens in a new window), Jahić, J. & Roitsch, R. (2020). Software Architecture. ECSA 2020. Communications in Computer and Information Science, vol 1269, 155–169.
Mitigating the influence of embedded software development environments and toolsets (ESDT) on software architecture(Opens in a new window), Jahić, J. et. al. (2019). IEEE International Conference on Software Architecture, 111–120.