Roland Würsching

Roland Würsching is a researcher at the Technische Universität München's Informatik 4 department (Lehrstuhl für Software & Systems Engineering led by Prof. Pretschner). His work focuses on applying natural language processing (NLP) techniques to software testing, particularly in optimizing regression test suites and addressing challenges in multi-language systems. He actively contributes to teaching, offering courses like Advanced Topics of Software Engineering and Software Quality seminars.

His research emphasizes improving test case prioritization, leveraging AI for test automation, and enhancing maintainability of large-scale software systems. Notable work includes RustyRTS (regression testing for Rust) and Severity-Aware prioritization for automotive software. He collaborates on projects like SUPPRA (Algorand Center of Excellence) and TAPFER, addressing transparency and security in distributed systems.

Publications span conferences like ICSE and IEEE STVR, focusing on practical solutions for real-world testing challenges in DevOps and CI/CD environments. While no awards are explicitly listed, his prolific publication record reflects impactful contributions to software engineering.