Yannic Noller
Assistant Professor, Singapore University of Technology and Design (SUTD).
UPDATE: In July 2024, I will join the Ruhr-University Bochum! I will hire PhD students for my new group, let me know if you want to work with me!
Yannic (CV) currently leads the Software Engineering research group @ SUTD and has the general research goal to shape the future of software development by contributing to the domain of automated software engineering and providing the means to develop reliable, trustworthy, and secure software systems. In particular, he works in the following areas:
- Automated Program Repair: developing new repair techniques to aid developers in fixing program bugs
- Machine Learning Analysis: automated analysis, testing, and repairing of machine learning models
- Software Testing: exploring and designing (hybrid) testing techniques to systematically generate test inputs that expose incorrect program behavior
- Intelligent Tutoring Systems: how to help CS students to learn programming by applying concepts from automated testing and repair to guide the students toward the right solution
- Human Factors in SE: studying developer needs and requirements for successful deployment of testing and repair techniques in development practice
His Ph.D. work focused on differential software testing, in particular, by combining fuzzing and symbolic execution in the context of regression analysis, algorithmic complexity analysis, side-channel analysis, and robustness analysis of neural networks.
news
Feb 09, 2024 | Happy to be the Publicity Co-Chair for ISSTA 2025!đłđŽđ„ł If you also want to contribute, here is your chance! ISSTA is looking for competent and motivated reviewers for its 2025 edition. Nominate yourself (deadline Feb 20) using this form: https://t.co/BAxK2wN1V9. |
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Jan 20, 2024 | Happy to share that our poster about âExploring Complexity Estimation with Symbolic Execution and Large Language Modelsâ has been accepted for the KLEE Workshop 2024! |
Jan 18, 2024 | I had fun participating in STEAMxD @ SUTD and teaching Singaporeâs bright JC students about basic principles in machine learning! |
Dec 07, 2023 | Our work on âEvolutionary Testing for Program Repairâ has been accepted for ICST 2024! With EvoRepair, we explore a coevolution approach that generates tests and repairs in a unified workflow using EvoSuite. Stay tuned for the pre-print :-) |
Nov 09, 2023 | I have been invited to serve on the Program Committee for ICSE 2025! Looking forward to many great submissions!!! |