| 2023 | EMNLP | Improving Transformer-based Program Repair Model through False Behavior Diagnosis. | Youngkyoung Kim, Misoo Kim, Eunseok Lee |
| 2022 | AAAI | Tracking Down Misguiding Terms for Locating Bugs in Deep Learning-Based Software (Student Abstract). | Youngkyoung Kim, Misoo Kim, Eunseok Lee |
| 2022 | APSEC | Systematic Analysis of Defect-Specific Code Abstraction for Neural Program Repair. | Kicheol Kim, Misoo Kim, Eunseok Lee |
| 2022 | ICSE | Deep Learning-based Production and Test Bug Report Classification using Source Files. | Misoo Kim, Youngkyoung Kim, Eunseok Lee |
| 2022 | ICST | An Empirical Study of IR-based Bug Localization for Deep Learning-based Software. | Misoo Kim, Youngkyoung Kim, Eunseok Lee |
| 2022 | MSR | ECench: An Energy Bug Benchmark of Ethereum Client Software. | Jinyoung Kim, Misoo Kim, Eunseok Lee |
| 2022 | SAC | How does the first buggy file work well for iterative IR-based bug localization? | Misoo Kim, Youngkyoung Kim, Eunseok Lee |
| 2022 | SAC | Feature assortment for deep learning-based bug localization with a program graph. | Youngkyoung Kim, Misoo Kim, Eunseok Lee |
| 2021 | ISSRE | A Novel Automatic Query Expansion with Word Embedding for IR-based Bug Localization. | Misoo Kim, Youngkyoung Kim, Eunseok Lee |
| 2021 | MSR | Denchmark: A Bug Benchmark of Deep Learning-related Software. | Misoo Kim, Youngkyoung Kim, Eunseok Lee |
| 2020 | APSEC | Feature Combination to Alleviate Hubness Problem of Source Code Representation for Bug Localization. | Youngkyoung Kim, Misoo Kim, Eunseok Lee |
| 2019 | SAC | A novel approach to automatic query reformulation for IR-based bug localization. | Misoo Kim, Eunseok Lee |
| 2018 | ICSE | Are information retrieval-based bug localization techniques trustworthy? | Misoo Kim, Eunseok Lee |