Shin Yoo

Search Based Repair of Deep Neural Networks.

2019 · arXiv (Cornell University)

Deep Neural Networks (DNNs) are being adopted in various domains, including safety critical ones. The wide-spread adoption also calls for ways to guide the testing of their accuracy and robustness, for which various test adequacy …

Fonte: Finding Bug Inducing Commits from Failures

2023

A Bug Inducing Commit (BIC) is a commit that introduces a software bug into the codebase. Knowing the relevant BIC for a given bug can provide valuable information for debugging as well as bug triaging. …

DANDI: Diffusion as Normative Distribution for Deep Neural Network Input

2025 · arXiv (Cornell University)

Surprise Adequacy (SA) has been widely studied as a test adequacy metric that can effectively guide software engineers towards inputs that are more likely to reveal unexpected behaviour of Deep Neural Networks (DNNs). Intuitively, SA …