Latest News

Oct. 28th, 2019
Prof. Lyu's paper “A coverage analysis tool for the effectiveness of software testing” was selected as one of the ISSRE 30-year most influential papers
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ARISE Lab at CUHK

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:

  • AIOps (Artificial Intelligence for IT Operations)
  • AIDev (Artificial Intelligence for Development)
  • RobustAI (Robust Artificial Intelligence)
  • NLP (Natural Language Processing)
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Papers
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Members

Research Areas of ARISE Lab

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AIDev

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.

  • Representation learning of code
  • Semantic understanding of code
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AIOps

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.

  • Data-driven methodologies for IT operations analytics
  • Reliable system architecture design
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RobustAI

Understand and examine the robustness of deep learning models. Improve the trustworthiness of deep learning techniques in real-world applications.

  • Interpret the behaviors of deep learning models
  • Reliable deep learning models design
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NLP

Extract information and insights contained in natural languages. Enable a series of NLP applications.

  • Natural language semantics understanding
  • Meaningful natural language generation
  • Other NLP tasks: translation, question answering, model compression, etc.