Jeongju Sohn
Title
Cited by
Cited by
Year
Fluccs: Using code and change metrics to improve fault localization
J Sohn, S Yoo
Proceedings of the 26th ACM SIGSOFT International Symposium on Software …, 2017
772017
Amortised deep parameter optimisation of GPGPU work group size for OpenCV
J Sohn, S Lee, S Yoo
International Symposium on Search Based Software Engineering, 211-217, 2016
72016
Empirical Evaluation of Fault Localisation Using Code and Change Metrics
J Sohn, S Yoo
IEEE Transactions on Software Engineering, 2019
62019
Search based repair of deep neural networks
J Sohn, S Kang, S Yoo
arXiv preprint arXiv:1912.12463, 2019
52019
Why train-and-select when you can use them all? ensemble model for fault localisation
J Sohn, S Yoo
Proceedings of the Genetic and Evolutionary Computation Conference, 1408-1416, 2019
42019
Empirical evaluation of conditional operators in GP based fault localization
D Kang, J Sohn, S Yoo
Proceedings of the Genetic and Evolutionary Computation Conference, 1295-1302, 2017
42017
Learning fault localisation for both humans and machines using multi-objective gp
K Choi, J Sohn, S Yoo
International Symposium on Search Based Software Engineering, 349-355, 2018
32018
Assisting Bug Report Assignment Using Automated Fault Localisation: An Industrial Case Study
J Sohn, G An, J Hong, D Hwang, S Yoo
2021 14th IEEE Conference on Software Testing, Verification and Validation …, 2021
2021
Leveraging Fault Localisation to Enhance Defect Prediction
J Sohn, Y Kamei, S McIntosh, S Yoo
2021 IEEE International Conference on Software Analysis, Evolution and …, 2021
2021
Bridging fault localisation and defect prediction
J Sohn
2020 IEEE/ACM 42nd International Conference on Software Engineering …, 2020
2020
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