ICST 2023
Sun 16 - Thu 20 April 2023 Dublin, Ireland
Donghwan Shin

Registered user since Tue 19 Dec 2017

Name:Donghwan Shin
Bio:

I am a lecturer at the Department of Computer Science, University of Sheffield. I did my Ph.D. under the supervision of Prof. Doo-Hwan Bae at Korea Advanced Institute of Science and Technology (KAIST), South Korea; my Ph.D. work, titled “Diversity-aware Mutation Adequacy Criterion for Improving the Fault Detection Capability of Test Suites”, won the Outstanding Thesis Award from the School of Computing, KAIST. I hold a B.C. and M.S. in Computer Science, both from KAIST. This was followed by 4 years as a research associate/scientist at the SVV (Software Verification and Validation) group, led by Prof. Lionel Briand, at the Interdisciplinary Centre for ICT Security, Reliability, and Trust (SnT) of the University of Luxembourg.

My research and teaching interests lie in mutation testing, testing for ML-enabled cyber-physical systems (e.g., ML-enabled automated driving systems), and log analysis (e.g., model inference and anomaly detection).

You can find my CV here: link.

Country:United Kingdom
Affiliation:The University of Sheffield
Research interests:Software testing, Log-based Software Engineering, Machine learning, Model-based Testing

Contributions

ICST 2023 Committee Member in Program Committee within the Research Papers-track
Mutation 2023 Co-chair in Organizing Committee within the Mutation 2023-track
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