Youngkyoung Kim

Orcid: 0000-0001-5457-7997

According to our database1, Youngkyoung Kim authored at least 18 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Automating Code Generation for Semiconductor Equipment Control from Developer Utterances with LLMs.
CoRR, September, 2025

Production and test bug report classification based on transfer learning.
Inf. Softw. Technol., 2025

2024
Noisy Token Removal for Bug Localization: The Impact of Semantically Confusing Misguiding Terms.
IEEE Access, 2024

2023
Improving Transformer-based Program Repair Model through False Behavior Diagnosis.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Preliminary Study on the Reproducibility of Fix Templates in Static Analysis Tool.
Proceedings of the 35th International Conference on Software Engineering Education and Training, 2023

2022
An empirical study of deep transfer learning-based program repair for Kotlin projects.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Feature assortment for deep learning-based bug localization with a program graph.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

How does the first buggy file work well for iterative IR-based bug localization?
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Multi-objective Optimization-based Bug-fixing Template Mining for Automated Program Repair.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

An Empirical Study of IR-based Bug Localization for Deep Learning-based Software.
Proceedings of the 15th IEEE Conference on Software Testing, Verification and Validation, 2022

Impact of Defect Instances for Successful Deep Learning-based Automatic Program Repair.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

Deep Learning-based Production and Test Bug Report Classification using Source Files.
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

Tracking Down Misguiding Terms for Locating Bugs in Deep Learning-Based Software (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Denchmark: A Bug Benchmark of Deep Learning-related Software.
Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

A Novel Automatic Query Expansion with Word Embedding for IR-based Bug Localization.
Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021

2020
Feature Combination to Alleviate Hubness Problem of Source Code Representation for Bug Localization.
Proceedings of the 27th Asia-Pacific Software Engineering Conference, 2020

2019
Novel Traffic Classification Mechanism in Software Defined Networks with Experimental Analysis.
Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, 2019

2018
Towards On-Demand Mobility Management in SDN.
Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication, 2018


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