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Jeongju Sohn
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2020 – today
- 2024
- [c13]Issei Morita, Yutaro Kashiwa, Masanari Kondo, Jeongju Sohn, Shane McIntosh, Yasutaka Kamei, Naoyasu Ubayashi:
TraceJIT: Evaluating the Impact of Behavioral Code Change on Just-In-Time Defect Prediction. SANER 2024: 580-591 - 2023
- [j2]Jeongju Sohn
, Sungmin Kang
Arachne: Search-Based Repair of Deep Neural Networks. ACM Trans. Softw. Eng. Methodol. 32(4): 85:1-85:26 (2023) - [i4]Yu Pei, Jeongju Sohn, Sarra Habchi, Mike Papadakis:
Time-based Repair for Asynchronous Wait Flaky Tests in Web Testing. CoRR abs/2305.08592 (2023) - 2022
- [c12]Yu Pei, Sarra Habchi, Renaud Rwemalika, Jeongju Sohn, Mike Papadakis:
An empirical study of async wait flakiness in front-end testing. BENEVOL 2022 - [c11]Gabin An, Juyeon Yoon, Jeongju Sohn, Jingun Hong, Dongwon Hwang, Shin Yoo:
Automatically Identifying Shared Root Causes of Test Breakages in SAP HANA. ICSE (SEIP) 2022: 65-74 - [c10]Sarra Habchi, Guillaume Haben
What Made This Test Flake? Pinpointing Classes Responsible for Test Flakiness. ICSME 2022: 352-363 - [c9]Jeongju Sohn
CEMENT: On the Use of Evolutionary Coupling Between Tests and Code Units. A Case Study on Fault Localization. ISSRE 2022: 133-144 - [i3]Jeongju Sohn
Using Evolutionary Coupling to Establish Relevance Links Between Tests and Code Units. A case study on fault localization. CoRR abs/2203.11343 (2022) - [i2]Sarra Habchi, Guillaume Haben
What Made This Test Flake? Pinpointing Classes Responsible for Test Flakiness. CoRR abs/2207.10143 (2022) - 2021
- [j1]Jeongju Sohn
Empirical Evaluation of Fault Localisation Using Code and Change Metrics. IEEE Trans. Software Eng. 47(8): 1605-1625 (2021) - [c8]Jeongju Sohn
Assisting Bug Report Assignment Using Automated Fault Localisation: An Industrial Case Study. ICST 2021: 284-294 - [c7]Jeongju Sohn
Leveraging Fault Localisation to Enhance Defect Prediction. SANER 2021: 284-294 - 2020
- [c6]Jeongju Sohn
Bridging fault localisation and defect prediction. ICSE (Companion Volume) 2020: 214-217
2010 – 2019
- 2019
- [c5]Jeongju Sohn
Why train-and-select when you can use them all?: ensemble model for fault localisation. GECCO 2019: 1408-1416 - [i1]Jeongju Sohn, Sungmin Kang, Shin Yoo:
Search Based Repair of Deep Neural Networks. CoRR abs/1912.12463 (2019) - 2018
- [c4]Kabdo Choi, Jeongju Sohn
Learning Fault Localisation for both Humans and Machines Using Multi-objective GP. SSBSE 2018: 349-355 - 2017
- [c3]Dahyun Kang, Jeongju Sohn
Empirical evaluation of conditional operators in GP based fault localization. GECCO 2017: 1295-1302 - [c2]Jeongju Sohn
FLUCCS: using code and change metrics to improve fault localization. ISSTA 2017: 273-283 - 2016
- [c1]Jeongju Sohn
Amortised Deep Parameter Optimisation of GPGPU Work Group Size for OpenCV. SSBSE 2016: 211-217
Coauthor Index
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