ARISE (Automated Reliable Intelligent Software Engineering) Lab is led by Prof. Michael R. Lyu. We are mainly interested in four research areas of software engineering:
Research at the intersection of machine learning, programming languages, and software engineering. Propose learnable probabilistic models of source code that exploit code’s abundance of patterns.
Combine machine learning and big data for managing modern IT environments that are hybrid, dynamic, and distributed. Automate system operation processes via failure management and knowledge learning.
Understand and examine the robustness of deep learning models. Improve the trustworthiness of deep learning techniques in real-world applications.
Extract information and insights contained in natural languages. Enable a series of NLP applications.