Write a Blog >>
ICSE 2023
Sun 14 - Sat 20 May 2023 Melbourne, Australia
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

DeepTest 2023 Organizer in Organizing Committee within the DeepTest 2023-track
ICSE 2023 (Journal-First Track) PRINS: Scalable Model Inference for Component-Based System Logs
Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled Systems
Show activities from other conferences

Using general profile