Misoo Kim

IEEE Access, 2024

2023

Improving Transformer-based Program Repair Model through False Behavior Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Identifying Incorrect Patches in Program Repair Based on Meaning of Source Code.

[BibT_eX]

[DOI]

Quang-Ngoc Phung

IEEE Access, 2022

An empirical study of deep transfer learning-based program repair for Kotlin projects.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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?

[BibT_eX]

[DOI]

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

ECench: An Energy Bug Benchmark of Ethereum Client Software.

[BibT_eX]

[DOI]

Jinyoung Kim

Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

Multi-objective Optimization-based Bug-fixing Template Mining for Automated Program Repair.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Deep Learning-based Production and Test Bug Report Classification using Source Files.

[BibT_eX]

[DOI]

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

Systematic Analysis of Defect-Specific Code Abstraction for Neural Program Repair.

[BibT_eX]

[DOI]

Kicheol Kim

Proceedings of the 29th Asia-Pacific Software Engineering Conference, 2022

Tracking Down Misguiding Terms for Locating Bugs in Deep Learning-Based Software (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Are datasets for information retrieval-based bug localization techniques trustworthy?

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2021

Denchmark: A Bug Benchmark of Deep Learning-related Software.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021

2020

ManQ: Many-objective optimization-based automatic query reduction for IR-based bug localization.

[BibT_eX]

[DOI]

Inf. Softw. Technol., 2020

Feature Combination to Alleviate Hubness Problem of Source Code Representation for Bug Localization.

[BibT_eX]

[DOI]

Proceedings of the 27th Asia-Pacific Software Engineering Conference, 2020

2019

A novel approach to automatic query reformulation for IR-based bug localization.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

2018

Are information retrieval-based bug localization techniques trustworthy?

[BibT_eX]

[DOI]