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ICSE 2023
Sun 14 - Sat 20 May 2023 Melbourne, Australia
Michael Pradel

Registered user since Fri 18 Jul 2014

Name:Michael Pradel
Bio:

Michael Pradel is 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, 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 neural 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), an ERC Starting Grant, four best/distinguished paper awards, and by being named an ACM Distinguished Member.

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

Contributions

ICSE 2023 MorphQ: Metamorphic Testing of the Qiskit Quantum Computing Platform
When to Say What: Learning to Find Condition-Message Inconsistencies
MorphQ: Metamorphic Testing of the Qiskit Quantum Computing Platform
SecBench.js: An Executable Security Benchmark Suite for Server-Side JavaScript
Program Committee Member in Technical Track within the Technical Track-track
SecBench.js: An Executable Security Benchmark Suite for Server-Side JavaScript
VULGEN: Realistic Vulnerability Generation Via Pattern Mining and Deep Learning
When to Say What? Learning to Find Inconsistencies in Condition-Message Statements
VulGen: Realistic Vulnerability Generation Via Pattern Mining and Deep Learning
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