Misoo Kim

Orcid: 0000-0002-8274-5457

According to our database1, Misoo Kim authored at least 19 papers between 2018 and 2023.

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

Timeline

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Bibliography

2023
Improving Transformer-based Program Repair Model through False Behavior Diagnosis.
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.
IEEE Access, 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

ECench: An Energy Bug Benchmark of Ethereum Client Software.
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.
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

Systematic Analysis of Defect-Specific Code Abstraction for Neural Program Repair.
Proceedings of the 29th Asia-Pacific Software Engineering Conference, 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
Are datasets for information retrieval-based bug localization techniques trustworthy?
Empir. Softw. Eng., 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
ManQ: Many-objective optimization-based automatic query reduction for IR-based bug localization.
Inf. Softw. Technol., 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
A novel approach to automatic query reformulation for IR-based bug localization.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

2018
Are information retrieval-based bug localization techniques trustworthy?
Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018


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