Lukas Thode
Doctoral Student
Department of Software Engineering
Room J2608, Karlskrona
Research domain: Software Engineering
Lukas Thode is a PhD student at BTH, specializing in the efficient and effective use of Generative AI in Software Engineering, including how to measure its impact. His research explores ways to optimize various software engineering tasks using GenAI.
With a strong emphasis on real-world applications, he aims to bridge the gap between AI advancements and practical software engineering.
Latest publications
- Lukas Thode, Umar Iftikhar, Daniel Mendez, "Exploring the use of LLMs for the selection phase in systematic literature studies", Information and Software Technology, ISSN 0950-5849, EISSN 1873-6025, Vol. 184, Elsevier, 2025
- Felix Jedrzejewski, Lukas Thode, Jannik Fischbach, Tony Gorschek, Daniel Mendez, Niklas Lavesson, "Adversarial Machine Learning in Industry", Computers & Security, ISSN 0167-4048, EISSN 1872-6208, Vol. 145, Elsevier, 2024
- Michael Dorner, Andreas Bauer, Darja Šmite, Lukas Thode, Daniel Mendez, Ricardo Britto, Stephan Lukasczyk, Ehsan Zabardast, Michael Kormann, "Quo Vadis, Code Review?"
Current projects
No information available
Completed projects
No information available