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Misoo Kim
Misoo Kim
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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
152019
Are information retrieval-based bug localization techniques trustworthy?
M Kim, E Lee
Proceedings of the 40th international conference on software engineering …, 2018
152018
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
142021
ManQ: Many-objective optimization-based automatic query reduction for IR-based bug localization
M Kim, E Lee
Information and Software Technology 125, 106334, 2020
132020
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
112021
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
82022
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
52022
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
52022
Identifying incorrect patches in program repair based on meaning of source code
QN Phung, M Kim, E Lee
IEEE Access 10, 12012-12030, 2022
52022
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
42021
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
32020
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
22022
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
22022
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
22022
Dynamic Decision Making for Self-Adaptive Systems Considering Environment Information
M Kim, H Jeong, E Lee
Journal of KIISE 43 (7), 801-811, 2016
22016
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
12022
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
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