A novel approach to automatic query reformulation for ir-based bug localization M Kim, E Lee Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 1752-1759, 2019 | 15 | 2019 |
Are information retrieval-based bug localization techniques trustworthy? M Kim, E Lee Proceedings of the 40th international conference on software engineering …, 2018 | 15 | 2018 |
Are datasets for information retrieval-based bug localization techniques trustworthy? Impact analysis of bug types on IRBL M Kim, E Lee Empirical Software Engineering 26, 1-66, 2021 | 14 | 2021 |
ManQ: Many-objective optimization-based automatic query reduction for IR-based bug localization M Kim, E Lee Information and Software Technology 125, 106334, 2020 | 13 | 2020 |
Denchmark: A bug benchmark of deep learning-related software M Kim, Y Kim, E Lee 2021 IEEE/ACM 18th International Conference on Mining Software Repositories …, 2021 | 11 | 2021 |
An empirical study of deep transfer learning-based program repair for kotlin projects M Kim, Y Kim, H Jeong, J Heo, S Kim, H Chung, E Lee Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 8 | 2022 |
Deep learning-based production and test bug report classification using source files M Kim, Y Kim, E Lee Proceedings of the ACM/IEEE 44th International Conference on Software …, 2022 | 5 | 2022 |
An empirical study of ir-based bug localization for deep learning-based software M Kim, Y Kim, E Lee 2022 IEEE Conference on Software Testing, Verification and Validation (ICST …, 2022 | 5 | 2022 |
Identifying incorrect patches in program repair based on meaning of source code QN Phung, M Kim, E Lee IEEE Access 10, 12012-12030, 2022 | 5 | 2022 |
A novel automatic query expansion with word embedding for ir-based bug localization M Kim, Y Kim, E Lee 2021 IEEE 32nd International Symposium on Software Reliability Engineering …, 2021 | 4 | 2021 |
Feature combination to alleviate hubness problem of source code representation for bug localization Y Kim, M Kim, E Lee 2020 27th Asia-Pacific Software Engineering Conference (APSEC), 511-512, 2020 | 3 | 2020 |
Multi-objective Optimization-based Bug-fixing Template Mining for Automated Program Repair M Kim, Y Kim, K Kim, E Lee Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022 | 2 | 2022 |
Impact of Defect Instances for Successful Deep Learning-based Automatic Program Repair M Kim, Y Kim, J Heo, H Jeong, S Kim, E Lee 2022 IEEE International Conference on Software Maintenance and Evolution …, 2022 | 2 | 2022 |
Tracking down misguiding terms for locating bugs in deep learning-based software (student abstract) Y Kim, M Kim, E Lee Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12983 …, 2022 | 2 | 2022 |
Dynamic Decision Making for Self-Adaptive Systems Considering Environment Information M Kim, H Jeong, E Lee Journal of KIISE 43 (7), 801-811, 2016 | 2 | 2016 |
Feature assortment for deep learning-based bug localization with a program graph Y Kim, M Kim, E Lee Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 1536-1544, 2022 | 1 | 2022 |
Improving Transformer-based Program Repair Model through False Behavior Diagnosis Y Kim, M Kim, E Lee Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | | 2023 |
Systematic Analysis of Defect-Specific Code Abstraction for Neural Program Repair K Kim, M Kim, E Lee 2022 29th Asia-Pacific Software Engineering Conference (APSEC), 81-89, 2022 | | 2022 |
ECench: an energy bug benchmark of ethereum client software J Kim, M Kim, E Lee Proceedings of the 19th International Conference on Mining Software …, 2022 | | 2022 |
How does the first buggy file work well for iterative IR-based bug localization? M Kim, Y Kim, E Lee Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 1509-1516, 2022 | | 2022 |