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ESEC/FSE 2021
Thu 19 - Sat 28 August 2021 Clowdr Platform
Michael Pradel

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
Research interests:Software Engineering, Programming Languages, Program Analysis, Machine Learning

Contributions

ESEC/FSE 2021 Session Chair of Testing—Test Generation 2 (part of Research Papers)
Session Chair of SE & AI—Machine Learning for Software Engineering 1 (part of Research Papers)
Session Chair of SE & AI—Machine Learning for Software Engineering 2 (part of Research Papers)
Committee Member in Program Committee within the Research Papers-track
Session Chair of Analysis—Programming Languages (part of Research Papers)
Semantic Bug Seeding: A Learning-Based Approach for Creating Realistic Bugs
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