Sunghun Kim

156 papers A* 34A 25C 1Journal 61Unranked 33
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Reflection on Change Classification in the Era of Large Language Models.
IEEE Trans. Software Eng.
Sunghun Kim, Shivkumar Shivaji, Jim Whitehead
2025 J jnl
A Survey on Mixture of Experts in Large Language Models.
IEEE Trans. Knowl. Data Eng.
Weilin Cai, Juyong Jiang, Fan Wang, Jing Tang, Sunghun Kim, Jiayi Huang
2025 J jnl
DTRec: Learning Dynamic Reasoning Trajectories for Sequential Recommendation.
CoRR
Yifan Shao, Peilin Zhou, Shoujin Wang, Weizhi Zhang, Xu Cai, Sunghun Kim
2025 J jnl
Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation With Pre-Training.
IEEE Trans. Knowl. Data Eng.
Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Sunghun Kim, Philip S. Yu
2025 A* conf
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models.
ICLR
Fan Wang, Juyong Jiang, Chansung Park, Sunghun Kim, Jing Tang
2025 A* conf
Shortcut-connected Expert Parallelism for Accelerating Mixture of Experts.
ICML
Weilin Cai, Juyong Jiang, Le Qin, Junwei Cui, Sunghun Kim, Jiayi Huang
2025 A* conf
When Large Vision Language Models Meet Multimodal Sequential Recommendation: An Empirical Study.
WWW
Peilin Zhou, Chao Liu, Jing Ren, Xinfeng Zhou, Yueqi Xie, Meng Cao, Zhongtao Rao, You-Liang Huang, Dading Chong, Junling Liu, Jae Boum Kim, Shoujin Wang, Raymond Chi-Wing Wong, Sunghun Kim
2024 J jnl
A Survey on Large Language Models for Code Generation.
CoRR
Juyong Jiang, Fan Wang, Jiasi Shen, Sungju Kim, Sunghun Kim
2024 J jnl
A Survey on Mixture of Experts.
CoRR
Weilin Cai, Juyong Jiang, Fan Wang, Jing Tang, Sunghun Kim, Jiayi Huang
2024 A* conf
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models.
ICLR
Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang
2024 A* conf
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation.
SIGIR
Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim
2024 J jnl
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation.
CoRR
Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim
2024 A* conf
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs.
WWW
Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim
2024 J jnl
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text-attributed Graphs.
CoRR
Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim
2024 A* conf
Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation.
WWW
Peilin Zhou, You-Liang Huang, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Sunghun Kim
2024 J jnl
Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation.
CoRR
Peilin Zhou, You-Liang Huang, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Sunghun Kim
2024 J jnl
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models.
CoRR
Fan Wang, Juyong Jiang, Chansung Park, Sunghun Kim, Jing Tang
2024 — conf
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling.
NAACL (Industry Track)
Sanghoon Kim, Dahyun Kim, Chanjun Park, Wonsung Lee, Wonho Song, Yunsu Kim, Hyeonwoo Kim, Yungi Kim, Hyeonju Lee, Jihoo Kim, Changbae Ahn, Seonghoon Yang, Sukyung Lee, Hyunbyung Park, Gyoungjin Gim, Mikyoung Cha, Hwalsuk Lee, Sunghun Kim
2024 J jnl
Shortcut-connected Expert Parallelism for Accelerating Mixture-of-Experts.
CoRR
Weilin Cai, Juyong Jiang, Le Qin, Junwei Cui, Sunghun Kim, Jiayi Huang
2024 A* conf
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems.
SIGIR
Peiyan Zhang, Yuchen Yan, Xi Zhang, Chaozhuo Li, Senzhang Wang, Feiran Huang, Sunghun Kim
2023 J jnl
A Survey on Incremental Update for Neural Recommender Systems.
CoRR
Peiyan Zhang, Sunghun Kim
2023 A conf
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation.
CIKM
Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Xing Xie, Sunghun Kim
2023 A conf
Attention Calibration for Transformer-based Sequential Recommendation.
CIKM
Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Chenyu You, Sunghun Kim
2023 J jnl
Attention Calibration for Transformer-based Sequential Recommendation.
CoRR
Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Chenyu You, Sunghun Kim
2023 J jnl
Can Transformer and GNN Help Each Other?
CoRR
Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Sunghun Kim
2023 A* conf
Continual Learning on Dynamic Graphs via Parameter Isolation.
SIGIR
Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim
2023 J jnl
Continual Learning on Dynamic Graphs via Parameter Isolation.
CoRR
Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim
2023 A* conf
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics.
CVPR
Renjie Pi, Weizhong Zhang, Yueqi Xie, Jiahui Gao, Xiaoyu Wang, Sunghun Kim, Qifeng Chen
2023 A conf
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network.
WSDM
Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim
2023 A conf
Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting.
CIKM
Juyong Jiang, Binqing Wu, Ling Chen, Kai Zhang, Sunghun Kim
2023 A conf
Equivariant Contrastive Learning for Sequential Recommendation.
RecSys
Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Jaeboum Kim, Shoujin Wang, Sunghun Kim
2023 J jnl
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models.
CoRR
Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang
2023 A conf
Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems.
RecSys
Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jae Boum Kim, Fangzhao Wu, Sunghun Kim
2023 J jnl
Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems.
CoRR
Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jaeboum Kim, Fangzhao Wu, Sunghun Kim
2023 J jnl
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling.
CoRR
Dahyun Kim, Chanjun Park, Sanghoon Kim, Wonsung Lee, Wonho Song, Yunsu Kim, Hyeonwoo Kim, Yungi Kim, Hyeonju Lee, Jihoo Kim, Changbae Ahn, Seonghoon Yang, Sukyung Lee, Hyunbyung Park, Gyoungjin Gim, Mikyoung Cha, Hwalsuk Lee, Sunghun Kim
2022 J jnl
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation.
CoRR
Juyong Jiang, Jae Boum Kim, Yingtao Luo, Kai Zhang, Sunghun Kim
2022 J jnl
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics.
CoRR
Renjie Pi, Weizhong Zhang, Yueqi Xie, Jiahui Gao, Xiaoyu Wang, Sunghun Kim, Qifeng Chen
2022 A* conf
Decoupled Side Information Fusion for Sequential Recommendation.
SIGIR
Yueqi Xie, Peilin Zhou, Sunghun Kim
2022 J jnl
Decoupled Side Information Fusion for Sequential Recommendation.
CoRR
Yueqi Xie, Peilin Zhou, Sunghun Kim
2022 J jnl
Dynamic Adaptive and Adversarial Graph Convolutional Network for Traffic Forecasting.
CoRR
Juyong Jiang, Binqing Wu, Ling Chen, Sunghun Kim
2022 J jnl
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network.
CoRR
Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim
2022 J jnl
Equivariant Contrastive Learning for Sequential Recommendation.
CoRR
Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Sunghun Kim
2022 A conf
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation.
CIKM
Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim
2022 J jnl
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation.
CoRR
Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim
2022 J jnl
Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization.
CoRR
Yueqi Xie, Weizhong Zhang, Renjie Pi, Fangzhao Wu, Qifeng Chen, Xing Xie, Sunghun Kim
2021 A conf
Do Bugs Propagate? An Empirical Analysis of Temporal Correlations Among Software Bugs.
ECOOP
Xiaodong Gu, Yo-Sub Han, Sunghun Kim, Hongyu Zhang
2021 J jnl
Sequential Recommendation with Bidirectional Chronological Augmentation of Transformer.
CoRR
Juyong Jiang, Yingtao Luo, Jae Boum Kim, Kai Zhang, Sunghun Kim
2020 A conf
ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers.
INTERSPEECH
Jung-Woo Ha, Kihyun Nam, Jingu Kang, Sang-Woo Lee, Sohee Yang, Hyunhoon Jung, Hyeji Kim, Eunmi Kim, Soojin Kim, Hyun Ah Kim, Kyoungtae Doh, Chan Kyu Lee, Nako Sung, Sunghun Kim
2020 J jnl
ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers.
CoRR
Jung-Woo Ha, Kihyun Nam, Jin-Gu Kang, Sang-Woo Lee, Sohee Yang, Hyunhoon Jung, Eunmi Kim, Hyeji Kim, Soojin Kim, Hyun Ah Kim, Kyoungtae Doh, Chan Kyu Lee, Sunghun Kim
2020 J jnl
The effectiveness of context-based change application on automatic program repair.
Empir. Softw. Eng.
Jindae Kim, Jeongho Kim, Eunseok Lee, Sunghun Kim
2019 J jnl
Automatic patch generation with context-based change application.
Empir. Softw. Eng.
Jindae Kim, Sunghun Kim
2019 A* conf
CodeKernel: A Graph Kernel Based Approach to the Selection of API Usage Examples.
ASE
Xiaodong Gu, Hongyu Zhang, Sunghun Kim
2019 — conf
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder.
ICLR (Poster)
Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha, Sunghun Kim
2019 — conf
InSPeCT: Iterated Local Search for Solving Path Conditions.
CASE
Fuxiang Chen, Aldy Gunawan, David Lo, Sunghun Kim
2019 — conf
NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions.
EMNLP/IJCNLP (1)
Fuxiang Chen, Seung-won Hwang, Jaegul Choo, Jung-Woo Ha, Sunghun Kim
2019 A* conf
Paraphrase Diversification Using Counterfactual Debiasing.
AAAI
Sunghyun Park, Seung-won Hwang, Fuxiang Chen, Jaegul Choo, Jung-Woo Ha, Sunghun Kim, Jinyeong Yim
2018 A* conf
Deep code search.
ICSE
Xiaodong Gu, Hongyu Zhang, Sunghun Kim
2018 J jnl
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder.
CoRR
Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha, Sunghun Kim
2018 — conf
Exploring How Software Developers Work with Mention Bot in GitHub.
CCHI
Zhenhui Peng, Jeehoon Yoo, Meng Xia, Sunghun Kim, Xiaojuan Ma
2018 J jnl
Heterogeneous Defect Prediction.
IEEE Trans. Software Eng.
Jaechang Nam, Wei Fu, Sunghun Kim, Tim Menzies, Lin Tan
2018 A* conf
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation.
CVPR
Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, Jaegul Choo
2018 — conf
Which generated test failures are fault revealing? prioritizing failures based on inferred precondition violations using PAF.
ESEC/SIGSOFT FSE
Mijung Kim, Shing-Chi Cheung, Sunghun Kim
2017 J jnl
Automated Program Repair (Dagstuhl Seminar 17022).
Dagstuhl Reports
Sunghun Kim, Claire Le Goues, Michael Pradel, Abhik Roychoudhury
2017 J jnl
Automatic Music Highlight Extraction using Convolutional Recurrent Attention Networks.
CoRR
Jung-Woo Ha, Adrian Kim, Chanju Kim, Jangyeon Park, Sunghun Kim
2017 A* conf
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning.
IJCAI
Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim
2017 J jnl
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning.
CoRR
Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim
2017 J jnl
NSML: A Machine Learning Platform That Enables You to Focus on Your Models.
CoRR
Nako Sung, Minkyu Kim, Hyunwoo Jo, Youngil Yang, Jingwoong Kim, Leonard Lausen, Youngkwan Kim, Gayoung Lee, Dong-Hyun Kwak, Jung-Woo Ha, Sunghun Kim
2017 J jnl
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation.
CoRR
Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, Jaegul Choo
2016 J jnl
Connecting and Serving the Software Engineering Community.
IEEE Trans. Software Eng.
Matthew B. Dwyer, Eric Bodden, Brian Fitzgerald, Miryung Kim, Sunghun Kim, Amy J. Ko, Emilia Mendes, Raffaela Mirandola, Ana Moreira, Forrest Shull, Stephen F. Siegel, Tao Xie, Charles Zhang
2016 J jnl
Cost-aware triage ranking algorithms for bug reporting systems.
Knowl. Inf. Syst.
Jin-Woo Park, Mu-Woong Lee, Jinhan Kim, Seung-won Hwang, Sunghun Kim
2016 J jnl
Deep API Learning.
CoRR
Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim
2016 — conf
Deep API learning.
SIGSOFT FSE
Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim
2016 J jnl
Developer Micro Interaction Metrics for Software Defect Prediction.
IEEE Trans. Software Eng.
Taek Lee, Jaechang Nam, DongGyun Han, Sunghun Kim, Hoh Peter In
2016 J jnl
Development nature matters: An empirical study of code clones in JavaScript applications.
Empir. Softw. Eng.
Wai Ting Cheung, Sukyoung Ryu, Sunghun Kim
2016 J jnl
Guest editorial: Special section on mining software repositories.
Empir. Softw. Eng.
Massimiliano Di Penta, Sunghun Kim
2016 J jnl
Guest editorial: mining software repositories.
Empir. Softw. Eng.
Martin Pinzger, Sunghun Kim
2015 A* conf
"What Parts of Your Apps are Loved by Users?" (T).
ASE
Xiaodong Gu, Sunghun Kim
2015 A* conf
CLAMI: Defect Prediction on Unlabeled Datasets (T).
ASE
Jaechang Nam, Sunghun Kim
2015 — conf
Crowd debugging.
ESEC/SIGSOFT FSE
Fuxiang Chen, Sunghun Kim
2015 J jnl
Crowdsourcing Identification of License Violations.
J. Comput. Sci. Eng.
Sanghoon Lee, Daniel M. Germán, Seung-won Hwang, Sunghun Kim
2015 — conf
Heterogeneous defect prediction.
ESEC/SIGSOFT FSE
Jaechang Nam, Sunghun Kim
2015 A conf
Partitioning Composite Code Changes to Facilitate Code Review.
MSR
Yida Tao, Sunghun Kim
2015 — conf
REMI: defect prediction for efficient API testing.
ESEC/SIGSOFT FSE
Mijung Kim, Jaechang Nam, Jaehyuk Yeon, Soonhwang Choi, Sunghun Kim
2015 J jnl
STAR: Stack Trace Based Automatic Crash Reproduction via Symbolic Execution.
IEEE Trans. Software Eng.
Ning Chen, Sunghun Kim
2015 J jnl
The Impact of View Histories on Edit Recommendations.
IEEE Trans. Software Eng.
Seonah Lee, Sungwon Kang, Sunghun Kim, Matthew Staats
2014 — conf
Automatically generated patches as debugging aids: a human study.
SIGSOFT FSE
Yida Tao, Jindae Kim, Sunghun Kim, Chang Xu
2014 A conf
CrashLocator: locating crashing faults based on crash stacks.
ISSTA
Rongxin Wu, Hongyu Zhang, Shing-Chi Cheung, Sunghun Kim
2014 J jnl
Developing tools as plug-ins: TOPI 2012 special issue.
Softw. Pract. Exp.
Diego Garbervetsky, Sunghun Kim
2014 — conf
How we get there: a context-guided search strategy in concolic testing.
SIGSOFT FSE
Hyunmin Seo, Sunghun Kim
2014 J jnl
Locating Crashing Faults based on Crash Stack Traces.
CoRR
Liang Gong, Hongyu Zhang, Hyunmin Seo, Sunghun Kim
2014 J jnl
Surfacing code in the dark: an instant clone search approach.
Knowl. Inf. Syst.
Jin-Woo Park, Mu-Woong Lee, Jong-Won Roh, Seung-won Hwang, Sunghun Kim
2014 A conf
Writing Acceptable Patches: An Empirical Study of Open Source Project Patches.
ICSME
Yida Tao, DongGyun Han, Sunghun Kim
2013 A* conf
Automatic patch generation learned from human-written patches.
ICSE
Dongsun Kim, Jaechang Nam, Jaewoo Song, Sunghun Kim
2013 J jnl
Enriching Documents with Examples: A Corpus Mining Approach.
ACM Trans. Inf. Syst.
Jinhan Kim, Sanghoon Lee, Seung-won Hwang, Sunghun Kim
2013 A* conf
Personalized defect prediction.
ASE
Tian Jiang, Lin Tan, Sunghun Kim
2013 — conf
Predicting method crashes with bytecode operations.
ISEC
Sunghun Kim, Thomas Zimmermann, Rahul Premraj, Nicolas Bettenburg, Shivkumar Shivaji
2013 A ed.
Proceedings of the 10th Working Conference on Mining Software Repositories, MSR '13, San Francisco, CA, USA, May 18-19, 2013
MSR
Thomas Zimmermann, Massimiliano Di Penta, Sunghun Kim
2013 J jnl
Reducing Features to Improve Code Change-Based Bug Prediction.
IEEE Trans. Software Eng.
Shivkumar Shivaji, E. James Whitehead Jr., Ram Akella, Sunghun Kim
2013 J jnl
Report from 2nd international workshop on developing tools as plug-ins (TOPI 2012).
ACM SIGSOFT Softw. Eng. Notes
Diego Garbervetsky, Sunghun Kim
2013 J jnl
Roundtable: What's Next in Software Analytics.
IEEE Softw.
Ahmed E. Hassan, Abram Hindle, Per Runeson, Martin J. Shepperd, Premkumar T. Devanbu, Sunghun Kim
2013 A* conf
Transfer defect learning.
ICSE
Jaechang Nam, Sinno Jialin Pan, Sunghun Kim
2013 J jnl
Where Should We Fix This Bug? A Two-Phase Recommendation Model.
IEEE Trans. Software Eng.
Dongsun Kim, Yida Tao, Sunghun Kim, Andreas Zeller
2012 — conf
Defect, defect, defect: defect prediction 2.0.
PROMISE
Sunghun Kim
2012 — conf
How do software engineers understand code changes?: an exploratory study in industry.
SIGSOFT FSE
Yida Tao, Yingnong Dang, Tao Xie, Dongmei Zhang, Sunghun Kim
2012 A* conf
Predicting recurring crash stacks.
ASE
Hyunmin Seo, Sunghun Kim
2012 — ed.
Proceedings of the Second International Workshop on Developing Tools as Plug-Ins, TOPI 2012, Zurich, Switzerland, June 3, 2012
TOPI@ICSE
Diego Garbervetsky, Sunghun Kim
2012 A* conf
Puzzle-based automatic testing: bringing humans into the loop by solving puzzles.
ASE
Ning Chen, Sunghun Kim
2012 J jnl
Report from 2nd international workshop on developing tools as plug-ins (TOPI 2012).
ACM SIGSOFT Softw. Eng. Notes
Diego Garbervetsky, Sunghun Kim
2012 A conf
The evolution of data races.
MSR
Caitlin Sadowski, Jaeheon Yi, Sunghun Kim
2011 A* conf
An empirical investigation into the role of API-level refactorings during software evolution.
ICSE
Miryung Kim, Dongxiang Cai, Sunghun Kim
2011 — conf
Challenges in Automatic Testing.
SSIRI (Companion)
Sunghun Kim, Ning Chen
2011 A* conf
CosTriage: A Cost-Aware Triage Algorithm for Bug Reporting Systems.
AAAI
Jin-Woo Park, Mu-Woong Lee, Jinhan Kim, Seung-won Hwang, Sunghun Kim
2011 A conf
Crash graphs: An aggregated view of multiple crashes to improve crash triage.
DSN
Sunghun Kim, Thomas Zimmermann, Nachiappan Nagappan
2011 A* conf
Dealing with noise in defect prediction.
ICSE
Sunghun Kim, Hongyu Zhang, Rongxin Wu, Liang Gong
2011 A* conf
Integrating code search into the development session.
ICDE
Mu-Woong Lee, Seung-won Hwang, Sunghun Kim
2011 A* conf
MeCC: memory comparison-based clone detector.
ICSE
Heejung Kim, Yungbum Jung, Sunghun Kim, Kwangkeun Yi
2011 — conf
Micro interaction metrics for defect prediction.
SIGSOFT FSE
Taek Lee, Jaechang Nam, DongGyun Han, Sunghun Kim, Hoh Peter In
2011 — conf
ReLink: recovering links between bugs and changes.
SIGSOFT FSE
Rongxin Wu, Hongyu Zhang, Sunghun Kim, Shing-Chi Cheung
2011 — conf
Understanding a developer social network and its evolution.
ICSM
Qiaona Hong, Sunghun Kim, Shing-Chi Cheung, Christian Bird
2011 J jnl
Which Crashes Should I Fix First?: Predicting Top Crashes at an Early Stage to Prioritize Debugging Efforts.
IEEE Trans. Software Eng.
Dongsun Kim, Xinming Wang, Sunghun Kim, Andreas Zeller, Shing-Chi Cheung, Sooyong Park
2010 — conf
Instant code clone search.
SIGSOFT FSE
Mu-Woong Lee, Jong-Won Roh, Seung-won Hwang, Sunghun Kim
2010 J jnl
Monitoring Software Quality Evolution for Defects.
IEEE Softw.
Hongyu Zhang, Sunghun Kim
2010 A conf
OCAT: object capture-based automated testing.
ISSTA
Hojun Jaygarl, Sunghun Kim, Tao Xie, Carl K. Chang
2010 A* conf
Towards an Intelligent Code Search Engine.
AAAI
Jinhan Kim, Sanghoon Lee, Seung-won Hwang, Sunghun Kim
2009 A* conf
Adding Examples into Java Documents.
ASE
Jinhan Kim, Sanghoon Lee, Seung-won Hwang, Sunghun Kim
2009 A* conf
Automatically patching errors in deployed software.
SOSP
Jeff H. Perkins, Sunghun Kim, Samuel Larsen, Saman P. Amarasinghe, Jonathan Bachrach, Michael Carbin, Carlos Pacheco, Frank Sherwood, Stelios Sidiroglou, Gregory T. Sullivan, Weng-Fai Wong, Yoav Zibin, Michael D. Ernst, Martin C. Rinard
2009 — conf
Improving bug triage with bug tossing graphs.
ESEC/SIGSOFT FSE
Gaeul Jeong, Sunghun Kim, Thomas Zimmermann
2009 A conf
Kenyon-web: Reconfigurable web-based feature extractor.
ICPC
Sunghun Kim, Shivkumar Shivaji, E. James Whitehead Jr.
2009 — conf
Practical Extensions of a Randomized Testing Tool.
COMPSAC (1)
Hojun Jaygarl, Carl K. Chang, Sunghun Kim
2009 — ed.
Proceeding of the ACM First International Workshop on Data-Intensive Software Management and Mining, CIKM-DSMM 2009, Hong Kong, China, November 6, 2009
CIKM-DSMM
Audris Mockus, Seung-won Hwang, Sunghun Kim
2009 — conf
ReCrashJ: a tool for capturing and reproducing program crashes in deployed applications.
ESEC/SIGSOFT FSE
Shay Artzi, Sunghun Kim, Michael D. Ernst
2009 A* conf
Reducing Features to Improve Bug Prediction.
ASE
Shivkumar Shivaji, E. James Whitehead Jr., Ram Akella, Sunghun Kim
2009 J jnl
Toward an understanding of bug fix patterns.
Empir. Softw. Eng.
Kai Pan, Sunghun Kim, E. James Whitehead Jr.
2008 J jnl
Classifying Software Changes: Clean or Buggy?
IEEE Trans. Software Eng.
Sunghun Kim, E. James Whitehead Jr., Yi Zhang
2008 — conf
Duplicate bug reports considered harmful ... really?
ICSM
Nicolas Bettenburg, Rahul Premraj, Thomas Zimmermann, Sunghun Kim
2008 A conf
Extracting structural information from bug reports.
MSR
Nicolas Bettenburg, Rahul Premraj, Thomas Zimmermann, Sunghun Kim
2008 — conf
MSR 2008 - 5th working conference on mining software repositories.
ICSE Companion
Michele Lanza, Michael W. Godfrey, Sunghun Kim
2008 — conf
Predicting faults from cached history.
ISEC
Sunghun Kim, Thomas Zimmermann, E. James Whitehead Jr., Andreas Zeller
2008 A conf
ReCrash: Making Software Failures Reproducible by Preserving Object States.
ECOOP
Shay Artzi, Sunghun Kim, Michael D. Ernst
2007 A* conf
Predicting Faults from Cached History.
ICSE
Sunghun Kim, Thomas Zimmermann, E. James Whitehead Jr., Andreas Zeller
2007 A conf
Prioritizing Warning Categories by Analyzing Software History.
MSR
Sunghun Kim, Michael D. Ernst
2007 — conf
Which warnings should I fix first?
ESEC/SIGSOFT FSE
Sunghun Kim, Michael D. Ernst
2006 A* conf
Automatic Identification of Bug-Introducing Changes.
ASE
Sunghun Kim, Thomas Zimmermann, Kai Pan, E. James Whitehead Jr.
2006 C conf
Bug Classification Using Program Slicing Metrics.
SCAM
Kai Pan, Sunghun Kim, E. James Whitehead Jr.
2006 A conf
How long did it take to fix bugs?
MSR
Sunghun Kim, E. James Whitehead Jr.
2006 — conf
Memories of bug fixes.
SIGSOFT FSE
Sunghun Kim, Kai Pan, E. James Whitehead Jr.
2006 A conf
Micro pattern evolution.
MSR
Sunghun Kim, Kai Pan, E. James Whitehead Jr.
2006 A conf
Mining version archives for co-changed lines.
MSR
Thomas Zimmermann, Sunghun Kim, Andreas Zeller, E. James Whitehead Jr.
2006 — conf
Properties of Signature Change Patterns.
ICSM
Sunghun Kim, E. James Whitehead Jr.
2006 A conf
TA-RE: an exchange language for mining software repositories.
MSR
Sunghun Kim, Thomas Zimmermann, Miryung Kim, Ahmed E. Hassan, Audris Mockus, Tudor Gîrba, Martin Pinzger, E. James Whitehead Jr., Andreas Zeller
2005 A conf
Analysis of signature change patterns.
MSR
Sunghun Kim, E. James Whitehead Jr., Jennifer Bevan
2005 J jnl
Analysis of signature change patterns.
ACM SIGSOFT Softw. Eng. Notes
Sunghun Kim, E. James Whitehead Jr., Jennifer Bevan
2005 — conf
Facilitating software evolution research with kenyon.
ESEC/SIGSOFT FSE
Jennifer Bevan, E. James Whitehead Jr., Sunghun Kim, Michael W. Godfrey
2005 — conf
When Functions Change Their Names: Automatic Detection of Origin Relationships.
WCRE
Sunghun Kim, Kai Pan, E. James Whitehead Jr.
2004 — conf
Properties of academic paper references.
Hypertext
Sunghun Kim, E. James Whitehead Jr.
2004 — conf
WebDAV-based hypertext annotation and trail system.
Hypertext
Sunghun Kim, Mark Slater, E. James Whitehead Jr.