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ESEC/FSE 2022
Mon 14 - Fri 18 November 2022 Singapore
Tao Yue

Registered user since Mon 1 Jan 2018

Name:Tao Yue
Bio:

Tao Yue has received a Ph.D. degree in the Department of Systems and Computer Engineering at Carleton University, Ottawa, Canada in 2010. She has nearly 20 years of experience conducting industry-oriented research with a focus on Model-Based Engineering (MBE) in various application domains such as Maritime and Energy, Communications, Automated Industry, and Healthcare in several countries including Canada, Norway, and China. Her present research area is software engineering, with specific interests in Requirements Engineering, MBE, Model-based Testing, Uncertainty-wise Testing, Uncertainty Modeling, Search-based Software Engineering, Empirical Software Engineering, and Product Line Engineering, with a particular focus on large-scale software systems such as Cyber-Physical Systems.

Country:Norway
Affiliation:Simula Research Laboratory
Research interests:Model-based Engineering, Requirement Engineering, Empirical Software Engineering, Search-based Software Engineering, Software Testing, Quantum Software Engineering, Uncertainty Wise Software Engineering

Contributions

ESEC/FSE 2022 Testing Self-Healing Cyber-Physical Systems under Uncertainty with Reinforcement Learning: An Empirical Study
Are Elevator Software Robust against Uncertainties? Results and Experiences from an Industrial Case Study
Session Chair of Dependability (part of Research Papers)
Uncertainty-Aware Transfer Learning to Evolve Digital Twins for Industrial Elevators
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