Registered user since Fri 18 Jul 2014
Name:Michael Pradel
Bio:
Michael Pradel is a full professor at University of Stuttgart, which he joined after a PhD at ETH Zurich, a post-doc at UC Berkeley, an assistant professorship at TU Darmstadt, and a sabbatical at Facebook. 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 dynamic program analysis, test generation, concurrency, performance profiling, JavaScript-based web applications, and machine learning-based program analysis.
Country:Germany
Affiliation:University of Stuttgart
Personal website: http://software-lab.org/people/Michael_Pradel.html
Research interests:Software Engineering, Programming Languages, Program Analysis, Machine Learning
Contributions
2022
ICSE
- Finding good research problems (2 short talks + discussion)
- Nalin: Learning from Runtime Behavior to Find Name-Value Inconsistencies
- CrystalBLEU: Precisely and Efficiently Measuring the Similarity of Code
- Committee Member in Program Committee within the Technical Track-track
- Nessie: Automatically Testing JavaScript APIs with Asynchronous Callbacks
ICSE 2022-profile
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