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ORCIDSunghun Kim 0001
Person information
- affiliation: Hong Kong University of Science and Technology, Department of Computer Science and Engineering
- affiliation: Massachusetts Institute of Technology, Department of Electrical Engineering & Computer Science
- affiliation: University of California, Santa Cruz, Department of Computer Science
Other persons with the same name
- Sung-Hun Kim (aka: Sung Hun Kim, Sunghun Kim) — disambiguation page
- Sunghun Kim 0002 — Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea (and 1 more)
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2020 – today
- 2024
[c88]Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang:
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models. ICLR 2024- [c87]Peiyan Zhang
, Yuchen Yan, Xi Zhang, Chaozhuo Li, Senzhang Wang, Feiran Huang, Sunghun Kim:
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems. SIGIR 2024: 1285-1295 - [c86]Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim:
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation. SIGIR 2024: 1774-1784 - [c85]Peilin Zhou, You-Liang Huang, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Sunghun Kim:
Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation. WWW 2024: 3854-3863 - [c84]Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim:
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs. WWW 2024: 4316-4327 - [i30]Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim:
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text-attributed Graphs. CoRR abs/2402.16240 (2024) - [i29]Peilin Zhou, You-Liang Huang, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Sunghun Kim:
Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation. CoRR abs/2403.11136 (2024) - [i28]Weilin Cai, Juyong Jiang, Le Qin, Junwei Cui, Sunghun Kim, Jiayi Huang:
Shortcut-connected Expert Parallelism for Accelerating Mixture-of-Experts. CoRR abs/2404.05019 (2024) - [i27]Juyong Jiang, Fan Wang, Jiasi Shen, Sungju Kim, Sunghun Kim:
A Survey on Large Language Models for Code Generation. CoRR abs/2406.00515 (2024) - [i26]Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim:
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation. CoRR abs/2406.08229 (2024) - [i25]Weilin Cai, Juyong Jiang, Fan Wang, Jing Tang, Sunghun Kim, Jiayi Huang:
A Survey on Mixture of Experts. CoRR abs/2407.06204 (2024) - 2023
- [c83]Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Xing Xie, Sunghun Kim:
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. CIKM 2023: 976-986 - [c82]Juyong Jiang, Binqing Wu, Ling Chen, Kai Zhang, Sunghun Kim:
Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting. CIKM 2023: 987-996 - [c81]Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Chenyu You, Sunghun Kim:
Attention Calibration for Transformer-based Sequential Recommendation. CIKM 2023: 3595-3605 - [c80]Renjie Pi, Weizhong Zhang, Yueqi Xie, Jiahui Gao, Xiaoyu Wang, Sunghun Kim, Qifeng Chen:
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics. CVPR 2023: 12177-12186 - [c79]Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Jaeboum Kim, Shoujin Wang, Sunghun Kim:
Equivariant Contrastive Learning for Sequential Recommendation. RecSys 2023: 129-140 - [c78]Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jae Boum Kim, Fangzhao Wu, Sunghun Kim:
Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems. RecSys 2023: 283-293 - [c77]Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim:
Continual Learning on Dynamic Graphs via Parameter Isolation. SIGIR 2023: 601-611 - [c76]Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim:
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network. WSDM 2023: 168-176 - [i24]Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jaeboum Kim, Fangzhao Wu, Sunghun Kim:
Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems. CoRR abs/2302.14532 (2023) - [i23]Peiyan Zhang, Sunghun Kim:
A Survey on Incremental Update for Neural Recommender Systems. CoRR abs/2303.02851 (2023) - [i22]Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim:
Continual Learning on Dynamic Graphs via Parameter Isolation. CoRR abs/2305.13825 (2023) - [i21]Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Chenyu You, Sunghun Kim:
Attention Calibration for Transformer-based Sequential Recommendation. CoRR abs/2308.09419 (2023) - [i20]Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang:
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models. CoRR abs/2308.10632 (2023) - [i19]Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Sunghun Kim:
Can Transformer and GNN Help Each Other? CoRR abs/2308.14355 (2023) - 2022
- [c75]Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim:
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation. CIKM 2022: 624-634 - [c74]Yueqi Xie, Peilin Zhou, Sunghun Kim:
Decoupled Side Information Fusion for Sequential Recommendation. SIGIR 2022: 1611-1621 - [i18]Yueqi Xie, Peilin Zhou, Sunghun Kim:
Decoupled Side Information Fusion for Sequential Recommendation. CoRR abs/2204.11046 (2022) - [i17]Juyong Jiang, Jae Boum Kim, Yingtao Luo, Kai Zhang, Sunghun Kim:
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. CoRR abs/2205.08776 (2022) - [i16]Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim:
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation. CoRR abs/2206.12779 (2022) - [i15]Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim:
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network. CoRR abs/2206.12781 (2022) - [i14]Juyong Jiang, Binqing Wu, Ling Chen, Sunghun Kim:
Dynamic Adaptive and Adversarial Graph Convolutional Network for Traffic Forecasting. CoRR abs/2208.03063 (2022) - [i13]Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Sunghun Kim:
Equivariant Contrastive Learning for Sequential Recommendation. CoRR abs/2211.05290 (2022) - [i12]Yueqi Xie, Weizhong Zhang, Renjie Pi, Fangzhao Wu, Qifeng Chen, Xing Xie, Sunghun Kim:
Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization. CoRR abs/2211.05554 (2022) - [i11]Renjie Pi, Weizhong Zhang, Yueqi Xie, Jiahui Gao, Xiaoyu Wang, Sunghun Kim, Qifeng Chen:
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics. CoRR abs/2211.10878 (2022) - 2021
- [c73]Xiaodong Gu, Yo-Sub Han, Sunghun Kim, Hongyu Zhang:
Do Bugs Propagate? An Empirical Analysis of Temporal Correlations Among Software Bugs. ECOOP 2021: 11:1-11:21 - [i10]Juyong Jiang, Yingtao Luo, Jae Boum Kim, Kai Zhang, Sunghun Kim:
Sequential Recommendation with Bidirectional Chronological Augmentation of Transformer. CoRR abs/2112.06460 (2021) - 2020
- [c72]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:
ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers. INTERSPEECH 2020: 409-413 - [e4]Sunghun Kim, Georgios Gousios, Sarah Nadi, Joseph Hejderup:
MSR '20: 17th International Conference on Mining Software Repositories, Seoul, Republic of Korea, 29-30 June, 2020. ACM 2020, ISBN 978-1-4503-7517-7 [contents] - [i9]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:
ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers. CoRR abs/2004.09367 (2020)
2010 – 2019
- 2019
- [c71]Sunghyun Park, Seung-won Hwang, Fuxiang Chen, Jaegul Choo, Jung-Woo Ha, Sunghun Kim, Jinyeong Yim:
Paraphrase Diversification Using Counterfactual Debiasing. AAAI 2019: 6883-6891 - [c70]Fuxiang Chen, Aldy Gunawan, David Lo, Sunghun Kim:
InSPeCT: Iterated Local Search for Solving Path Conditions. CASE 2019: 1724-1729 - [c69]Fuxiang Chen, Seung-won Hwang, Jaegul Choo, Jung-Woo Ha, Sunghun Kim:
NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions. EMNLP/IJCNLP (1) 2019: 2603-2613 - [c68]Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha, Sunghun Kim:
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder. ICLR (Poster) 2019 - [c67]Xiaodong Gu, Hongyu Zhang, Sunghun Kim:
CodeKernel: A Graph Kernel Based Approach to the Selection of API Usage Examples. ASE 2019: 590-601 - 2018
- [j23]Jaechang Nam, Wei Fu, Sunghun Kim, Tim Menzies, Lin Tan:
Heterogeneous Defect Prediction. IEEE Trans. Software Eng. 44(9): 874-896 (2018) - [c66]Zhenhui Peng, Jeehoon Yoo, Meng Xia, Sunghun Kim, Xiaojuan Ma:
Exploring How Software Developers Work with Mention Bot in GitHub. CCHI 2018: 152-155 - [c65]Yunjey Choi, Min-Je Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, Jaegul Choo:
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation. CVPR 2018: 8789-8797 - [c64]Xiaodong Gu, Hongyu Zhang, Sunghun Kim:
Deep code search. ICSE 2018: 933-944 - [c63]Mijung Kim, Shing-Chi Cheung, Sunghun Kim:
Which generated test failures are fault revealing? prioritizing failures based on inferred precondition violations using PAF. ESEC/SIGSOFT FSE 2018: 679-690 - [i8]Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha, Sunghun Kim:
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder. CoRR abs/1805.12352 (2018) - 2017
- [c62]Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim:
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning. IJCAI 2017: 3675-3681 - [i7]Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim:
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning. CoRR abs/1704.07734 (2017) - [i6]Yunjey Choi, Min-Je Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, Jaegul Choo:
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation. CoRR abs/1711.09020 (2017) - [i5]Jung-Woo Ha, Adrian Kim, Chanju Kim, Jangyeon Park, Sunghun Kim:
Automatic Music Highlight Extraction using Convolutional Recurrent Attention Networks. CoRR abs/1712.05901 (2017) - [i4]Nako Sung, Minkyu Kim, Hyunwoo Jo, Youngil Yang, Jingwoong Kim, Leonard Lausen, Youngkwan Kim, Gayoung Lee, Dong-Hyun Kwak, Jung-Woo Ha, Sunghun Kim:
NSML: A Machine Learning Platform That Enables You to Focus on Your Models. CoRR abs/1712.05902 (2017) - [i3]Sunghun Kim, Claire Le Goues, Michael Pradel, Abhik Roychoudhury:
Automated Program Repair (Dagstuhl Seminar 17022). Dagstuhl Reports 7(1): 19-31 (2017) - 2016
- [j22]Massimiliano Di Penta, Sunghun Kim:
Guest editorial: Special section on mining software repositories. Empir. Softw. Eng. 21(2): 301-302 (2016) - [j21]Wai Ting Cheung, Sukyoung Ryu, Sunghun Kim:
Development nature matters: An empirical study of code clones in JavaScript applications. Empir. Softw. Eng. 21(2): 517-564 (2016) - [j20]Martin Pinzger, Sunghun Kim:
Guest editorial: mining software repositories. Empir. Softw. Eng. 21(5): 2033-2034 (2016) - [j19]Jin-Woo Park, Mu-Woong Lee, Jinhan Kim, Seung-won Hwang, Sunghun Kim:
Cost-aware triage ranking algorithms for bug reporting systems. Knowl. Inf. Syst. 48(3): 679-705 (2016) - [j18]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:
Connecting and Serving the Software Engineering Community. IEEE Trans. Software Eng. 42(3): 203-205 (2016) - [j17]Taek Lee, Jaechang Nam, DongGyun Han, Sunghun Kim, Hoh Peter In:
Developer Micro Interaction Metrics for Software Defect Prediction. IEEE Trans. Software Eng. 42(11): 1015-1035 (2016) - [c61]Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim:
Deep API learning. SIGSOFT FSE 2016: 631-642 - [i2]Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim:
Deep API Learning. CoRR abs/1605.08535 (2016) - 2015
- [j16]Sanghoon Lee, Daniel M. Germán, Seung-won Hwang, Sunghun Kim:
Crowdsourcing Identification of License Violations. J. Comput. Sci. Eng. 9(4) (2015) - [j15]Ning Chen, Sunghun Kim:
STAR: Stack Trace Based Automatic Crash Reproduction via Symbolic Execution. IEEE Trans. Software Eng. 41(2): 198-220 (2015) - [j14]Seonah Lee, Sungwon Kang, Sunghun Kim, Matthew Staats:
The Impact of View Histories on Edit Recommendations. IEEE Trans. Software Eng. 41(3): 314-330 (2015) - [c60]Jaechang Nam, Sunghun Kim:
CLAMI: Defect Prediction on Unlabeled Datasets (T). ASE 2015: 452-463 - [c59]Xiaodong Gu, Sunghun Kim:
"What Parts of Your Apps are Loved by Users?" (T). ASE 2015: 760-770 - [c58]Yida Tao, Sunghun Kim:
Partitioning Composite Code Changes to Facilitate Code Review. MSR 2015: 180-190 - [c57]Fuxiang Chen, Sunghun Kim:
Crowd debugging. ESEC/SIGSOFT FSE 2015: 320-332 - [c56]Jaechang Nam, Sunghun Kim:
Heterogeneous defect prediction. ESEC/SIGSOFT FSE 2015: 508-519 - [c55]Mijung Kim, Jaechang Nam, Jaehyuk Yeon, Soonhwang Choi, Sunghun Kim:
REMI: defect prediction for efficient API testing. ESEC/SIGSOFT FSE 2015: 990-993 - 2014
- [j13]Jin-Woo Park, Mu-Woong Lee, Jong-Won Roh, Seung-won Hwang, Sunghun Kim:
Surfacing code in the dark: an instant clone search approach. Knowl. Inf. Syst. 41(3): 727-759 (2014) - [j12]Diego Garbervetsky, Sunghun Kim:
Developing tools as plug-ins: TOPI 2012 special issue. Softw. Pract. Exp. 44(3): 259-260 (2014) - [c54]Yida Tao, DongGyun Han, Sunghun Kim:
Writing Acceptable Patches: An Empirical Study of Open Source Project Patches. ICSME 2014: 271-280 - [c53]Rongxin Wu, Hongyu Zhang, Shing-Chi Cheung, Sunghun Kim:
CrashLocator: locating crashing faults based on crash stacks. ISSTA 2014: 204-214 - [c52]Yida Tao, Jindae Kim, Sunghun Kim, Chang Xu:
Automatically generated patches as debugging aids: a human study. SIGSOFT FSE 2014: 64-74 - [c51]Hyunmin Seo, Sunghun Kim:
How we get there: a context-guided search strategy in concolic testing. SIGSOFT FSE 2014: 413-424 - [i1]Liang Gong, Hongyu Zhang, Hyunmin Seo, Sunghun Kim:
Locating Crashing Faults based on Crash Stack Traces. CoRR abs/1404.4100 (2014) - 2013
- [j11]Diego Garbervetsky, Sunghun Kim:
Report from 2nd international workshop on developing tools as plug-ins (TOPI 2012). ACM SIGSOFT Softw. Eng. Notes 38(1): 49-51 (2013) - [j10]Ahmed E. Hassan, Abram Hindle, Per Runeson, Martin J. Shepperd, Premkumar T. Devanbu, Sunghun Kim:
Roundtable: What's Next in Software Analytics. IEEE Softw. 30(4): 53-56 (2013) - [j9]Jinhan Kim, Sanghoon Lee, Seung-won Hwang, Sunghun Kim:
Enriching Documents with Examples: A Corpus Mining Approach. ACM Trans. Inf. Syst. 31(1): 1:1-1:27 (2013) - [j8]Shivkumar Shivaji, E. James Whitehead Jr., Ram Akella, Sunghun Kim:
Reducing Features to Improve Code Change-Based Bug Prediction. IEEE Trans. Software Eng. 39(4): 552-569 (2013) - [j7]Dongsun Kim, Yida Tao, Sunghun Kim, Andreas Zeller:
Where Should We Fix This Bug? A Two-Phase Recommendation Model. IEEE Trans. Software Eng. 39(11): 1597-1610 (2013) - [c50]Jaechang Nam, Sinno Jialin Pan, Sunghun Kim:
Transfer defect learning. ICSE 2013: 382-391 - [c49]Dongsun Kim, Jaechang Nam, Jaewoo Song, Sunghun Kim:
Automatic patch generation learned from human-written patches. ICSE 2013: 802-811 - [c48]Sunghun Kim, Thomas Zimmermann, Rahul Premraj, Nicolas Bettenburg, Shivkumar Shivaji:
Predicting method crashes with bytecode operations. ISEC 2013: 3-12 - [c47]Tian Jiang, Lin Tan, Sunghun Kim:
Personalized defect prediction. ASE 2013: 279-289 - [e3]Thomas Zimmermann, Massimiliano Di Penta, Sunghun Kim:
Proceedings of the 10th Working Conference on Mining Software Repositories, MSR '13, San Francisco, CA, USA, May 18-19, 2013. IEEE Computer Society 2013, ISBN 978-1-4673-2936-1 [contents] - 2012
- [j6]Diego Garbervetsky, Sunghun Kim:
Report from 2nd international workshop on developing tools as plug-ins (TOPI 2012). ACM SIGSOFT Softw. Eng. Notes 37(6): 24-27 (2012) - [c46]Ning Chen, Sunghun Kim:
Puzzle-based automatic testing: bringing humans into the loop by solving puzzles. ASE 2012: 140-149 - [c45]Hyunmin Seo, Sunghun Kim:
Predicting recurring crash stacks. ASE 2012: 180-189 - [c44]Caitlin Sadowski, Jaeheon Yi, Sunghun Kim:
The evolution of data races. MSR 2012: 171-174 - [c43]Sunghun Kim:
Defect, defect, defect: defect prediction 2.0. PROMISE 2012: 1-2 - [c42]Yida Tao, Yingnong Dang, Tao Xie, Dongmei Zhang, Sunghun Kim:
How do software engineers understand code changes?: an exploratory study in industry. SIGSOFT FSE 2012: 51 - [e2]Diego Garbervetsky, Sunghun Kim:
Proceedings of the Second International Workshop on Developing Tools as Plug-Ins, TOPI 2012, Zurich, Switzerland, June 3, 2012. IEEE Computer Society 2012, ISBN 978-1-4673-1820-4 [contents] - 2011
- [j5]Dongsun Kim, Xinming Wang, Sunghun Kim, Andreas Zeller, Shing-Chi Cheung, Sooyong Park:
Which Crashes Should I Fix First?: Predicting Top Crashes at an Early Stage to Prioritize Debugging Efforts. IEEE Trans. Software Eng. 37(3): 430-447 (2011) - [c41]Jin-Woo Park, Mu-Woong Lee, Jinhan Kim, Seung-won Hwang, Sunghun Kim:
CosTriage: A Cost-Aware Triage Algorithm for Bug Reporting Systems. AAAI 2011: 139-144 - [c40]Sunghun Kim, Thomas Zimmermann, Nachiappan Nagappan:
Crash graphs: An aggregated view of multiple crashes to improve crash triage. DSN 2011: 486-493 - [c39]Mu-Woong Lee, Seung-won Hwang, Sunghun Kim:
Integrating code search into the development session. ICDE 2011: 1336-1339 - [c38]Miryung Kim, Dongxiang Cai, Sunghun Kim:
An empirical investigation into the role of API-level refactorings during software evolution. ICSE 2011: 151-160 - [c37]Heejung Kim, Yungbum Jung, Sunghun Kim, Kwangkeun Yi:
MeCC: memory comparison-based clone detector. ICSE 2011: 301-310 - [c36]Sunghun Kim, Hongyu Zhang, Rongxin Wu, Liang Gong:
Dealing with noise in defect prediction. ICSE 2011: 481-490 - [c35]Qiaona Hong, Sunghun Kim, Shing-Chi Cheung, Christian Bird:
Understanding a developer social network and its evolution. ICSM 2011: 323-332 - [c34]Rongxin Wu, Hongyu Zhang, Sunghun Kim, Shing-Chi Cheung:
ReLink: recovering links between bugs and changes. SIGSOFT FSE 2011: 15-25 - [c33]Taek Lee, Jaechang Nam, DongGyun Han, Sunghun Kim, Hoh Peter In:
Micro interaction metrics for defect prediction. SIGSOFT FSE 2011: 311-321 - [c32]Sunghun Kim, Ning Chen:
Challenges in Automatic Testing. SSIRI (Companion) 2011: 84 - 2010
- [j4]Hongyu Zhang, Sunghun Kim:
Monitoring Software Quality Evolution for Defects. IEEE Softw. 27(4): 58-64 (2010) - [c31]Jinhan Kim, Sanghoon Lee, Seung-won Hwang, Sunghun Kim:
Towards an Intelligent Code Search Engine. AAAI 2010: 1358-1363 - [c30]Hojun Jaygarl, Sunghun Kim, Tao Xie, Carl K. Chang:
OCAT: object capture-based automated testing. ISSTA 2010: 159-170 - [c29]