Are information retrieval-based bug localization techniques trustworthy? - Misoo Kim; Eunseok Lee 001 (ICSE (Companion Volume), 2018)

A novel approach to automatic query reformulation for IR-based bug localization. - Misoo Kim; Eunseok Lee 001 (SAC, 2019)

Feature Combination to Alleviate Hubness Problem of Source Code Representation for Bug Localization. - Youngkyoung Kim; Misoo Kim; Eunseok Lee 001 (APSEC, 2020)

ManQ: Many-objective optimization-based automatic query reduction for IR-based bug localization. - Misoo Kim; Eunseok Lee 001 (Inf. Softw. Technol., 2020)

A Novel Automatic Query Expansion with Word Embedding for IR-based Bug Localization. - Misoo Kim; Youngkyoung Kim; Eunseok Lee 001 (ISSRE, 2021)

Denchmark: A Bug Benchmark of Deep Learning-related Software. - Misoo Kim; Youngkyoung Kim; Eunseok Lee 001 (MSR, 2021)

Are datasets for information retrieval-based bug localization techniques trustworthy? - Misoo Kim; Eunseok Lee 001 (Empir. Softw. Eng., 2021)

Tracking Down Misguiding Terms for Locating Bugs in Deep Learning-Based Software (Student Abstract). - Youngkyoung Kim; Misoo Kim; Eunseok Lee 001 (AAAI, 2022)

Systematic Analysis of Defect-Specific Code Abstraction for Neural Program Repair. - Kicheol Kim; Misoo Kim; Eunseok Lee 001 (APSEC, 2022)

Deep Learning-based Production and Test Bug Report Classification using Source Files. - Misoo Kim; Youngkyoung Kim; Eunseok Lee 001 (ICSE-Companion, 2022)

Impact of Defect Instances for Successful Deep Learning-based Automatic Program Repair. - Misoo Kim; Youngkyoung Kim; Jinseok Heo; Hohyeon Jeong; Sungoh Kim; Eunseok Lee 001 (ICSME, 2022)

An Empirical Study of IR-based Bug Localization for Deep Learning-based Software. - Misoo Kim; Youngkyoung Kim; Eunseok Lee 001 (ICST, 2022)

Multi-objective Optimization-based Bug-fixing Template Mining for Automated Program Repair. - Misoo Kim; Youngkyoung Kim; Kicheol Kim; Eunseok Lee 001 (ASE, 2022)

ECench: An Energy Bug Benchmark of Ethereum Client Software. - Jinyoung Kim; Misoo Kim; Eunseok Lee 001 (MSR, 2022)

How does the first buggy file work well for iterative IR-based bug localization? - Misoo Kim; Youngkyoung Kim; Eunseok Lee 001 (SAC, 2022)

Feature assortment for deep learning-based bug localization with a program graph. - Youngkyoung Kim; Misoo Kim; Eunseok Lee 001 (SAC, 2022)

An empirical study of deep transfer learning-based program repair for Kotlin projects. - Misoo Kim; Youngkyoung Kim; Hohyeon Jeong; Jinseok Heo; Sungoh Kim; Hyunhee Chung; Eunseok Lee 001 (ESEC/SIGSOFT FSE, 2022)

Identifying Incorrect Patches in Program Repair Based on Meaning of Source Code. - Quang-Ngoc Phung; Misoo Kim; Eunseok Lee 001 (IEEE Access, 2022)

Improving Transformer-based Program Repair Model through False Behavior Diagnosis. - Youngkyoung Kim; Misoo Kim; Eunseok Lee 001 (EMNLP, 2023)

Noisy Token Removal for Bug Localization: The Impact of Semantically Confusing Misguiding Terms. - Youngkyoung Kim; Misoo Kim; Eunseok Lee 001 (IEEE Access, 2024)

Production and test bug report classification based on transfer learning. - Misoo Kim; Youngkyoung Kim; Eunseok Lee 001 (Inf. Softw. Technol., 2025)