Jeongju Sohn

According to our database, Jeongju Sohn authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

TraceJIT: Evaluating the Impact of Behavioral Code Change on Just-In-Time Defect Prediction.

Issei Morita, Yutaro Kashiwa, Masanari Kondo, Jeongju Sohn, Shane McIntosh, Yasutaka Kamei, Naoyasu Ubayashi

Proceedings of the IEEE International Conference on Software Analysis, 2024

2023

Arachne: Search-Based Repair of Deep Neural Networks.

Jeongju Sohn, Sungmin Kang, Shin Yoo

ACM Trans. Softw. Eng. Methodol., July, 2023

Time-based Repair for Asynchronous Wait Flaky Tests in Web Testing.

Yu Pei, Jeongju Sohn, Sarra Habchi, Mike Papadakis

CoRR, 2023

2022

Using Evolutionary Coupling to Establish Relevance Links Between Tests and Code Units. A case study on fault localization.

Jeongju Sohn, Mike Papadakis

CoRR, 2022

CEMENT: On the Use of Evolutionary Coupling Between Tests and Code Units. A Case Study on Fault Localization.

Jeongju Sohn, Mike Papadakis

Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022

What Made This Test Flake? Pinpointing Classes Responsible for Test Flakiness.

Sarra Habchi, Guillaume Haben, Jeongju Sohn, Adriano Franci, Mike Papadakis, Maxime Cordy, Yves Le Traon

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

Automatically Identifying Shared Root Causes of Test Breakages in SAP HANA.

Gabin An, Juyeon Yoon, Jeongju Sohn, Jingun Hong, Dongwon Hwang, Shin Yoo

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2022

An empirical study of async wait flakiness in front-end testing.

Yu Pei, Sarra Habchi, Renaud Rwemalika, Jeongju Sohn, Mike Papadakis

Proceedings of the Belgium-Netherlands Software Evolution Workshop, 2022

2021

Empirical Evaluation of Fault Localisation Using Code and Change Metrics.

Jeongju Sohn, Shin Yoo

IEEE Trans. Software Eng., 2021

Leveraging Fault Localisation to Enhance Defect Prediction.

Jeongju Sohn, Yasutaka Kamei, Shane McIntosh, Shin Yoo

Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

Assisting Bug Report Assignment Using Automated Fault Localisation: An Industrial Case Study.

Jeongju Sohn, Gabin An, Jingun Hong, Dongwon Hwang, Shin Yoo

Proceedings of the 14th IEEE Conference on Software Testing, Verification and Validation, 2021

2020

Bridging fault localisation and defect prediction.

Jeongju Sohn

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

2019

Search Based Repair of Deep Neural Networks.

Jeongju Sohn, Sungmin Kang, Shin Yoo

CoRR, 2019

Why train-and-select when you can use them all?: ensemble model for fault localisation.

Jeongju Sohn, Shin Yoo

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018

Learning Fault Localisation for both Humans and Machines Using Multi-objective GP.

Kabdo Choi, Jeongju Sohn, Shin Yoo

Proceedings of the Search-Based Software Engineering - 10th International Symposium, 2018

2017

FLUCCS: using code and change metrics to improve fault localization.

Jeongju Sohn, Shin Yoo

Proceedings of the 26th ACM SIGSOFT International Symposium on Software Testing and Analysis, Santa Barbara, CA, USA, July 10, 2017

Empirical evaluation of conditional operators in GP based fault localization.

Dahyun Kang, Jeongju Sohn, Shin Yoo

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Amortised Deep Parameter Optimisation of GPGPU Work Group Size for OpenCV.

Jeongju Sohn, Seongmin Lee, Shin Yoo

Proceedings of the Search Based Software Engineering - 8th International Symposium, 2016