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Kisub Kim
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2020 – today
- 2024
- [j8]Kisub Kim
, Sankalp Ghatpande
Big Code Search: A Bibliography. ACM Comput. Surv. 56(1): 25:1-25:49 (2024) - [j7]Junda He
Representation Learning for Stack Overflow Posts: How Far Are We? ACM Trans. Softw. Eng. Methodol. 33(3): 69:1-69:24 (2024) - [j6]Xin Zhou, Bowen Xu, Kisub Kim, DongGyun Han, Hung Huu Nguyen, Thanh Le-Cong, Junda He, Bach Le, David Lo:
Leveraging Large Language Model for Automatic Patch Correctness Assessment. IEEE Trans. Software Eng. 50(11): 2865-2883 (2024) - [c17]Xunzhu Tang, Kisub Kim, Yewei Song, Cedric Lothritz, Bei Li, Saad Ezzini, Haoye Tian, Jacques Klein, Tegawendé F. Bissyandé:
CodeAgent: Autonomous Communicative Agents for Code Review. EMNLP 2024: 11279-11313 - [c16]Tiezhu Sun
DetectBERT: Towards Full App-Level Representation Learning to Detect Android Malware. ESEM 2024: 420-426 - [c15]Xin Zhou
Out of Sight, Out of Mind: Better Automatic Vulnerability Repair by Broadening Input Ranges and Sources. ICSE 2024: 88:1-88:13 - [c14]Junda He
Curiosity-Driven Testing for Sequential Decision-Making Process. ICSE 2024: 165:1-165:14 - [i17]Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han
Large Language Model as Synthesizer: Fusing Diverse Inputs for Better Automatic Vulnerability Repair. CoRR abs/2401.15459 (2024) - [i16]Daniel Tang, Zhenghan Chen, Kisub Kim, Yewei Song, Haoye Tian
CodeAgent: Collaborative Agents for Software Engineering. CoRR abs/2402.02172 (2024) - [i15]Tiezhu Sun, Nadia Daoudi, Kisub Kim, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein:
DetectBERT: Towards Full App-Level Representation Learning to Detect Android Malware. CoRR abs/2408.16353 (2024) - 2023
- [j5]Tiezhu Sun
DexBERT: Effective, Task-Agnostic and Fine-Grained Representation Learning of Android Bytecode. IEEE Trans. Software Eng. 49(10): 4691-4706 (2023) - [c13]Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han
Generation-based Code Review Automation: How Far Are Weƒ. ICPC 2023: 215-226 - [c12]Xin Zhou, Kisub Kim, Bowen Xu, Jiakun Liu, DongGyun Han
The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models. ASE 2023: 40-52 - [c11]Lwin Khin Shar
AutoConf: Automated Configuration of Unsupervised Learning Systems Using Metamorphic Testing and Bayesian Optimization. ASE 2023: 1326-1338 - [c10]Bowen Xu, Thanh-Dat Nguyen, Thanh Le-Cong, Thong Hoang, Jiakun Liu, Kisub Kim, Chen Gong, Changan Niu, Chenyu Wang, Bach Le, David Lo
Are We Ready to Embrace Generative AI for Software Q&A? ASE 2023: 1713-1717 - [c9]Ivana Clairine Irsan, Ting Zhang, Ferdian Thung, Kisub Kim, David Lo
Picaso: Enhancing API Recommendations with Relevant Stack Overflow Posts. MSR 2023: 92-103 - [c8]Martin Weyssow
On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code. ESEC/SIGSOFT FSE 2023: 1470-1482 - [c7]Ivana Clairine Irsan, Ting Zhang
Multi-Modal API Recommendation. SANER 2023: 272-283 - [i14]Xin Zhou, Bowen Xu, Kisub Kim, DongGyun Han
PatchZero: Zero-Shot Automatic Patch Correctness Assessment. CoRR abs/2303.00202 (2023) - [i13]Junda He, Xin Zhou, Bowen Xu, Ting Zhang, Kisub Kim, Zhou Yang, Ferdian Thung, Ivana Clairine Irsan, David Lo:
Representation Learning for Stack Overflow Posts: How Far are We? CoRR abs/2303.06853 (2023) - [i12]Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han
Generation-based Code Review Automation: How Far Are We? CoRR abs/2303.07221 (2023) - [i11]Ivana Clairine Irsan, Ting Zhang, Ferdian Thung, Kisub Kim, David Lo:
PICASO: Enhancing API Recommendations with Relevant Stack Overflow Posts. CoRR abs/2303.12299 (2023) - [i10]Ferdian Thung, Kisub Kim, Ting Zhang, Ivana Clairine Irsan, Ratnadira Widyasari, Zhou Yang, David Lo:
APIHarvest: Harvesting API Information from Various Online Sources. CoRR abs/2304.02514 (2023) - [i9]Kisub Kim, Ferdian Thung, Ting Zhang, Ivana Clairine Irsan, Ratnadira Widyasari, Zhou Yang, David Lo:
APISENS- Sentiment Scoring Tool for APIs with Crowd-Knowledge. CoRR abs/2304.05121 (2023) - [i8]Martin Weyssow, Xin Zhou, Kisub Kim, David Lo, Houari A. Sahraoui:
On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code. CoRR abs/2305.04106 (2023) - [i7]Bowen Xu, Thanh-Dat Nguyen, Thanh Le-Cong, Thong Hoang, Jiakun Liu, Kisub Kim, Chen Gong, Changan Niu, Chenyu Wang, Bach Le, David Lo:
Are We Ready to Embrace Generative AI for Software Q&A? CoRR abs/2307.09765 (2023) - [i6]Martin Weyssow, Xin Zhou, Kisub Kim, David Lo, Houari A. Sahraoui:
Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models. CoRR abs/2308.10462 (2023) - [i5]Kisub Kim, Xin Zhou, Dongsun Kim, Julia Lawall, Kui Liu, Tegawendé F. Bissyandé, Jacques Klein, Jaekwon Lee, David Lo:
How are We Detecting Inconsistent Method Names? An Empirical Study from Code Review Perspective. CoRR abs/2308.12701 (2023) - [i4]Xin Zhou, Kisub Kim, Bowen Xu, Jiakun Liu, DongGyun Han
The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models. CoRR abs/2309.03567 (2023) - [i3]Xunzhu Tang, Zhenghan Chen, Kisub Kim, Haoye Tian
Just-in-Time Security Patch Detection - LLM At the Rescue for Data Augmentation. CoRR abs/2312.01241 (2023) - 2022
- [j4]Kisub Kim, Sankalp Ghatpande, Kui Liu
DigBug - Pre/post-processing operator selection for accurate bug localization. J. Syst. Softw. 189: 111300 (2022) - [i2]Tiezhu Sun, Kevin Allix, Kisub Kim, Xin Zhou, Dongsun Kim
A Pre-Trained BERT Model for Android Applications. CoRR abs/2212.05976 (2022) - 2021
- [b1]Kisub Kim:
Steps Towards Semantic Code Search. University of Luxembourg, Luxembourg City, Luxembourg, 2021 - [j3]Deheng Yang, Kui Liu
Where were the repair ingredients for Defects4j bugs? Empir. Softw. Eng. 26(6): 122 (2021) - 2020
- [c6]Kui Liu
On the efficiency of test suite based program repair: A Systematic Assessment of 16 Automated Repair Systems for Java Programs. ICSE 2020: 615-627 - [i1]Kui Liu, Shangwen Wang, Anil Koyuncu, Kisub Kim, Tegawendé F. Bissyandé, Dongsun Kim, Peng Wu, Jacques Klein, Xiaoguang Mao, Yves Le Traon:
On the Efficiency of Test Suite based Program Repair: A Systematic Assessment of 16 Automated Repair Systems for Java Programs. CoRR abs/2008.00914 (2020)
2010 – 2019
- 2019
- [c5]Kui Liu
Learning to spot and refactor inconsistent method names. ICSE 2019: 1-12 - 2018
- [j2]Raphael Sirres, Tegawendé F. Bissyandé, Dongsun Kim
Augmenting and structuring user queries to support efficient free-form code search. Empir. Softw. Eng. 23(5): 2622-2654 (2018) - [c4]Kui Liu
LSRepair: Live Search of Fix Ingredients for Automated Program Repair. APSEC 2018: 658-662 - [c3]Raphael Sirres, Tegawendé F. Bissyandé, Dongsun Kim, David Lo, Jacques Klein, Kisub Kim, Yves Le Traon:
Augmenting and structuring user queries to support efficient free-form code search. ICSE 2018: 945 - [c2]Kisub Kim, Dongsun Kim
FaCoY: a code-to-code search engine. ICSE 2018: 946-957 - 2017
- [j1]Jaekwon Lee, Kisub Kim, Yonghyeon Lee, Jang-Eui Hong, Young-Hoon Seo, Byung-Do Yang, Woosung Jung:
Extracting the Source Code Context to Predict Import Changes using GPES. KSII Trans. Internet Inf. Syst. 11(2): 1234-1249 (2017) - 2016
- [c1]Jaekwon Lee, Kisub Kim, Jang-Eui Hong, Woosung Jung:
A Distributed Survey Automation Based on a Customizable Form Template. CSA/CUTE 2016: 912-919
Coauthor Index
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last updated on 2024-12-12 22:00 CET by the dblp team
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