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

ICSE 2024 Committee Member in Research Track within the Research Track-track
DeepTest 2023 Organizer in Organizing Committee within the DeepTest 2023-track
ICSE 2023 Author of Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled Systems within the Technical Track-track
ICST 2023 Committee Member in Program Committee within the Research Papers-track
Mutation 2023 Co-chair in Organizing Committee within the Mutation 2023-track
ISSTA 2022 Student Volunteer Co-Chair in Organizing Comittee
Student Volunteer Co-Chair in Student Volunteer Committee within the Student Volunteers-track
ICSE 2022 Author of Efficient Online Testing for DNN-Enabled Systems using Surrogate-Assisted and Many-Objective Optimization within the Technical Track-track
Author of Guidelines for Assessing the Accuracy of Log Message Template Identification Techniques within the Technical Track-track
Mutation 2022 Session Chair of Mutation Keynote (part of Mutation 2022)
Co-chair in Organizing Committee within the Mutation 2022-track
Session Chair of Mutation Opening (part of Mutation 2022)
Session Chair of Mutation I (part of Mutation 2022)
Committee Member in Program Committee within the Mutation 2022-track
Session Chair of Mutation Closing (part of Mutation 2022)
ICST 2022 Committee Member in Program Committee within the Research Papers-track
Session Chair of ICST AI II (part of Research Papers)
ISSTA 2021 Author of Log-Based Slicing for System-Level Test Cases within the Technical Papers-track
Author of Automatic Test Suite Generation for Key-Points Detection DNNs using Many-Objective Search (Experience Paper) within the Technical Papers-track
ICST 2021 Author of Digital Twins Are Not Monozygotic - Comparing ADAS Testing in Two Industry-Grade Automotive Simulators. within the Industry Track-track
Mutation 2021 Committee Member in Program Committee within the Mutation 2021-track
ICST 2020 Author of Comparing Offline and Online Testing of Deep Neural Networks: An Autonomous Car Case Study within the Research Papers-track
Author of Empirical evaluation of mutation-based test case prioritization techniques within the Journal-First Papers-track
ICSE 2020 Committee Member in Youtube Team Leaders within the Virtualization-track
Social Media Co-Chair in Organizing Committee
Programme Committee in Program Committee within the Software Engineering in Practice-track
Session Chair of A1-Autonomous Driving Systems (part of Paper Presentations)
* ICSE 2018 * Author of Are Mutation Scores Correlated with Real Fault Detection? A Large Scale Empirical study on the Relationship Between Mutants and Real Faults within the Technical Papers -track