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Mon 14 - Fri 18 November 2022 Singapore
Michael Pradel

Registered user since Fri 18 Jul 2014

Name:Michael Pradel

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.

Affiliation:University of Stuttgart
Research interests:Software Engineering, Programming Languages, Program Analysis, Machine Learning


ESEC/FSE 2022 Chair in Feedback Panel within the Doctoral Symposium-track
Generating Realistic Vulnerabilities via Neural Code Editing: An Empirical Study
DynaPyt: A Dynamic Analysis Framework for Python
Session Chair of Session 2 (part of Doctoral Symposium)
Session Chair of Session 4 (part of Doctoral Symposium)
Doctoral Symposium Chair in Organizing Committee
Semantic Bug Seeding: A Learning-Based Approach for Creating Realistic Bugs
TypeWriter: Neural Type Prediction with Search-Based Validation
Committee Member in Test of Time Award Committee
Session Chair of Session 3 (part of Doctoral Symposium)
Committee Member in Program Committee within the Research Papers-track
Session Chair of Newcomer's Lunch (part of Social)
Session Chair of Session 1 (part of Doctoral Symposium)
Chair in Program Committee within the Doctoral Symposium-track
The Evolution of Type Annotations in Python: An Empirical Study
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