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Donghwan Shin

Donghwan Shin

Research scientist

Faculty or Centre Interdisciplinary Centre for Security, Reliability and Trust
Department SVV
Postal Address Université du Luxembourg
29, avenue JF Kennedy
L-1855 Luxembourg
Campus Office JFK Building, E01-108
Email
Telephone (+352) 46 66 44 5465
Fax (+352) 46 66 44 35465

Donghwan Shin received his PhD degree from the Software Engineering Lab (SELab) in School of Computing, Korea Advanced Institute of Science and Technology (KAIST), in 2018. His research interests are in software testing, focusing on mutation testing, test adequacy criteria, and diversity in software testing. Donghwan joined the Software Verification and Validation group, V&V Lab, headed by Prof. Lionel Briand.

Last updated on: Monday, 17 September 2018

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2021

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See detailDigital Twins Are Not Monozygotic -- Cross-Replicating ADAS Testing in Two Industry-Grade Automotive Simulators
Borg, Markus; Ben Abdessalem (helali), Raja; Nejati, Shiva; François-Xavier, Jegeden; Shin, Donghwan

in 2021 IEEE 14th International Conference on Software Testing, Validation and Verification (ICST) (2021, May 25)

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See detailLog-based Slicing for System-level Test Cases
Messaoudi, Salma; Shin, Donghwan; Panichella, Annibale; Bianculli, Domenico; Briand, Lionel

in Proceedings of ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis (2021, July)

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See detailA Theoretical Framework for Understanding the Relationship Between Log Parsing and Anomaly Detection
Shin, Donghwan; Khan, Zanis Ali; Bianculli, Domenico; Briand, Lionel

in Proceedings of the 21st International Conference on Runtime Verification (2021, October)

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See detailAutomatic Test Suite Generation for Key-Points Detection DNNs using Many-Objective Search (Experience Paper)
Ul Haq, Fitash; Shin, Donghwan; Briand, Lionel; Stifter, Thomas; Wang, Jun

in 2021 ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) (2021, July)

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See detailCan Offline Testing of Deep Neural Networks Replace Their Online Testing?
Ul Haq, Fitash; Shin, Donghwan; Nejati, Shiva; Briand, Lionel

in Empirical Software Engineering (2021), 26(5),

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2020

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See detailComparing Offline and Online Testing of Deep Neural Networks: An Autonomous Car Case Study
Ul Haq, Fitash; Shin, Donghwan; Nejati, Shiva; Briand, Lionel

in 2020 IEEE 13th International Conference on Software Testing, Validation and Verification (ICST) (2020, August 05)

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