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Mijung Kim
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Publications
- 2023
- [c27]Sekeon Kim, Keonhee Cho, Kyeongrim Baek, Hyunjun Kim, Younmee Bae, Mijung Kim, Dongwook Seo, Sangyeop Baeck, Sungjae Lee, Seong-Ook Jung:
A Static Contention-Free Dual-Edge-Triggered Flip-Flop with Redundant Internal Node Transition Elimination for Ultra-Low-Power Applications. VLSI Technology and Circuits 2023: 1-2 - [i6]Danning Xie, Byungwoo Yoo, Nan Jiang, Mijung Kim, Lin Tan, Xiangyu Zhang, Judy S. Lee:
Impact of Large Language Models on Generating Software Specifications. CoRR abs/2306.03324 (2023) - 2022
- [c25]Danning Xie, Yitong Li, Mijung Kim, Hung Viet Pham, Lin Tan, Xiangyu Zhang, Michael W. Godfrey:
DocTer: documentation-guided fuzzing for testing deep learning API functions. ISSTA 2022: 176-188 - [c24]Keonhee Cho, Giseok Kim, Ji Sang Oh, Ki-Ryong Kim, Changsu Sim, Younmee Bae, Mijung Kim, Sangyeop Baeck, Taejoong Song, Seong-Ook Jung:
A 14-nm Low Voltage SRAM with Charge-Recycling and Charge Self-Saving Techniques for Low-Power Applications. VLSI Technology and Circuits 2022: 214-215 - 2021
- [c22]Fuxiang Chen, Mijung Kim, Jaegul Choo:
Novel Natural Language Summarization of Program Code via Leveraging Multiple Input Representations. EMNLP (Findings) 2021: 2510-2520 - [c21]Hung Viet Pham, Mijung Kim, Lin Tan, Yaoliang Yu, Nachiappan Nagappan:
DEVIATE: A Deep Learning Variance Testing Framework. ASE 2021: 1286-1290 - [i4]Danning Xie, Yitong Li, Mijung Kim, Hung Viet Pham, Lin Tan, Xiangyu Zhang, Michael W. Godfrey:
Leveraging Documentation to Test Deep Learning Library Functions. CoRR abs/2109.01002 (2021) - 2018
- [c17]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 - 2017
- [c15]Alexander Ulanov, Manish Marwah, Mijung Kim, Roshan Dathathri, Carlos Zubieta, Jun Li:
Sandpiper: Scaling probabilistic inferencing to large scale graphical models. IEEE BigData 2017: 383-388 - [c14]Mijung Kim, Jun Li, Haris Volos, Manish Marwah, Alexander Ulanov, Kimberly Keeton, Joseph A. Tucek, Lucy Cherkasova, Le Xu, Pradeep Fernando:
Sparkle: optimizing spark for large memory machines and analytics. SoCC 2017: 656 - [i2]Mijung Kim, Jun Li, Haris Volos, Manish Marwah, Alexander Ulanov, Kimberly Keeton, Joseph A. Tucek, Lucy Cherkasova, Le Xu, Pradeep Fernando:
Sparkle: Optimizing Spark for Large Memory Machines and Analytics. CoRR abs/1708.05746 (2017) - 2015
- [c12]Mijung Kim, Jaechang Nam, Jaehyuk Yeon, Soonhwang Choi, Sunghun Kim:
REMI: defect prediction for efficient API testing. ESEC/SIGSOFT FSE 2015: 990-993 - 2014
- [c8]Fei Chen, Tere Gonzalez, Jun Li, Manish Marwah, Jim Pruyne, Krishnamurthy Viswanathan, Mijung Kim:
Palette: enabling scalable analytics for big-memory, multicore machines. SIGMOD Conference 2014: 705-708 - 2012
- [c7]Mijung Kim, Jake Cobb, Tahsin M. Kurç, Alessandro Orso, Mary Jean Harrold, Andrew R. Post, Shamkant B. Navathe, Joel H. Saltz:
Systematic Modeling, Testing, and Monitoring of Information Integrity in Federated Ontology-driven Data Sources. AMIA 2012 - [c5]Mijung Kim, Jake Cobb, Mary Jean Harrold, Tahsin M. Kurç, Alessandro Orso, Joel H. Saltz, Andrew R. Post, Kunal Malhotra, Shamkant B. Navathe:
Efficient regression testing of ontology-driven systems. ISSTA 2012: 320-330 - 2010
- [c3]Mijung Kim, Saurabh Sinha, Carsten Görg, Hina Shah, Mary Jean Harrold, Mangala Gowri Nanda:
Automated Bug Neighborhood Analysis for Identifying Incomplete Bug Fixes. ICST 2010: 383-392 - 2009
- [c1]Saurabh Sinha, Hina Shah, Carsten Görg, Shujuan Jiang, Mijung Kim, Mary Jean Harrold:
Fault localization and repair for Java runtime exceptions. ISSTA 2009: 153-164
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