
Registered user since Fri 18 Jul 2014
Michael Pradel is a faculty member at the CISPA Helmholtz Center for Information Security and a full professor at the University of Stuttgart, which he joined after a PhD at ETH Zurich, a post-doc at UC Berkeley, an assistant professorship at TU Darmstadt. He has visited Facebook, UC Berkeley, and UCLA for sabbaticals. His research interests span software engineering, programming languages, security, and machine learning, with a focus on tools and techniques for building reliable, efficient, and secure software. In particular, he is interested in neural-symbolic software analysis, analyzing web applications, dynamic analysis, and test generation. Michael has been recognized through the Ernst-Denert Software Engineering Award, an Emmy Noether grant by the German Research Foundation (DFG), two ERC grants, best/distinguished paper awards at FSE (3x), ISSTA, ASE, ASPLOS, and MSR, and by being named an ACM Distinguished Member.
Contributions
2026
ICSE
- Testora: Using Natural Language Intent to Detect Behavioral Regressions
- Are “Solved Issues” in SWE-bench Really Solved Correctly? An Empirical Study
- Change And Cover: Last-Mile, Pull Request-Based Regression Test Augmentation
- Issue2Test: Generating Reproducing Test Cases from Issue Reports
- CodeMapper: A Language-Agnostic Approach to Mapping Code Regions Across Commits
- An Empirical Study of WebAssembly Usage in Node.js
- Area Co-Chair for AI for Software Engineering in Program Committee within the Research Track-track