About Us
The Software Lab is a research group led by Michael Pradel in the Department of Computer Science at the University of Stuttgart . Our research focuses on tools and techniques for building reliable, efficient, and secure software. To this end, we work on testing and analysis of complex software systems. As part of our research, we have contributed to techniques that detected thousands of bugs in widely used software.
We have openings to join the group as a PhD student or as a post-doc.
Research Highlights
AI Agents for Software Engineering
Autonomous, LLM-based agents that support developers.
RepairAgent,
ExecutionAgent
Learning to Find and Fix Bugs
Machine learning-based techniques to detect bugs and fix them automatically.
DeepBugs,
Getafix,
SemSeed
Neural Type Prediction
Use deep learning to add otherwise missing type annotations.
NL2Type,
TypeWriter,
SnowWhite,
Node.js Security
Addressing the security challenges of server-side JavaScript.
Synode,
ReDoS in Node.js,
NPM study,
SecBench.js
Analyzing WebAssembly
Static and dynamic analysis of WebAssembly code.
Wasabi,
Binary security,
WasmBench,
Wasm-R3
