collaborators

6 papers

cs.SE2026

READU: Inconsistency-Driven Just-in-Time Detection and Repair of README Bugs

Doehyun Baek, Kilian Krampf, Michael Pradel

Repository-level documentation, such as READMEs, is often the first point of contact between users and a repository. When this documentation is incorrect, users may encounter runti…

cs.SE2026

FlyCatcher: Neural Inference of Runtime Checkers from Tests

Beatriz Souza, Chang Lou, Suman Nath +1

Complex software systems often suffer from silent failures, i.e., violations of the intended semantics that do not cause explicit errors. A promising approach to detect such errors…

cs.SE2026

Automated Table Reproduction via Code Generation

Doehyun Baek, Michael Pradel

Reproducibility is an important goal in computer science research, e.g., for artifact evaluation and to build upon experimental results of prior work. Recently, LLM agents are bein…

cs.SE2026

Change And Cover: Last-Mile, Pull Request-Based Regression Test Augmentation

Zitong Zhou, Matteo Paltenghi, Miryung Kim +1

Software is in constant evolution, with developers frequently submitting pull requests (PRs) to introduce new features or fix bugs. Testing PRs is critical to maintaining software…

cs.PL2025

Execution-Aware Program Reduction for WebAssembly via Record and Replay

Doehyun Baek, Daniel Lehmann, Ben L. Titzer +2

WebAssembly (Wasm) programs may trigger bugs in their engine implementations. To aid debugging, program reduction techniques try to produce a smaller variant of the input program t…

cs.SE2025

QITE: Assembly-Level, Cross-Platform Testing of Quantum Computing Platforms

Matteo Paltenghi, Michael Pradel

Quantum computing platforms are susceptible to quantum-specific bugs (e.g., incorrect ordering of qubits or incorrect implementation of quantum abstractions), which are difficult t…