SOFTWARE ENGINEERING Γ GENERATIVE AI
Iβm Sivajeet, a researcher at TU Munich. I explore how AI can help software evolve.
My PhD research focuses on large language models for code migration and modernization.
Previously at Volvo Group Β· MSc, Chalmers

PhD Researcher Β· Munich, Germany
SELECTED RESEARCH
Helping software move forward.
DepWareTrans
Dependency-aware, incremental repository migration across co-executable languages.
Read the paper βLegacyWorld
Atomicity-aware evaluation of GUI agents for legacy workflows.
Read the paper βMigration & Trust
Why industry migrates and when it trusts LLMs: a practitioner survey on LLM-assisted software migration.
Publication details βAbout
In July 2024, I started my PhD at the Chair of Software and Systems Engineering under the supervision of Prof. Dr. Alexander Pretschner at the Technical University of Munich. My research focuses on exploring the potential of Generative AI, particularly Large Language Models (LLMs), for code migration and modernization.
I hold a master's degree in Software Engineering and Technology from Chalmers University of Technology, Sweden. Prior to starting at the chair, I was employed as a Data Engineer at Volvo Group. Additionally, I have gained experience as a student engineer at Aptiv and Good Solutions.
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