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2020 – today
- 2024
[j24]Minseok Jeon
, Jihyeok Park, Hakjoo Oh:
PL4XGL: A Programming Language Approach to Explainable Graph Learning. Proc. ACM Program. Lang. 8(PLDI): 2148-2173 (2024)- 2023
- [j23]Chan Gu Kang, Hakjoo Oh:
Modular Component-Based Quantum Circuit Synthesis. Proc. ACM Program. Lang. 7(OOPSLA1): 348-375 (2023) - [j22]DongKwon Lee, Woosuk Lee, Hakjoo Oh, Kwangkeun Yi:
Optimizing Homomorphic Evaluation Circuits by Program Synthesis and Time-bounded Exhaustive Search. ACM Trans. Program. Lang. Syst. 45(3): 16:1-16:37 (2023) - [c39]Myungho Lee, Sooyoung Cha, Hakjoo Oh:
Learning Seed-Adaptive Mutation Strategies for Greybox Fuzzing. ICSE 2023: 384-396 - [c38]Yoonseok Ko, Hakjoo Oh:
Learning to Boost Disjunctive Static Bug-Finders. ICSE 2023: 1097-1109 - [c37]Jongwook Kim, Sunbeom So, Hakjoo Oh:
Diver: Oracle-Guided SMT Solver Testing with Unrestricted Random Mutations. ICSE 2023: 2224-2236 - [c36]Jinkook Kim, Minseok Jeon, Sejeong Jang, Hakjoo Oh:
Automating Endurance Test for Flash-based Storage Devices in Samsung Electronics. ICST 2023: 317-326 - [c35]Sunbeom So, Hakjoo Oh:
SmartFix: Fixing Vulnerable Smart Contracts by Accelerating Generate-and-Verify Repair using Statistical Models. ESEC/SIGSOFT FSE 2023: 185-197 - [c34]Seunghoon Woo, Eunjin Choi, Heejo Lee, Hakjoo Oh:
V1SCAN: Discovering 1-day Vulnerabilities in Reused C/C++ Open-source Software Components Using Code Classification Techniques. USENIX Security Symposium 2023: 6541-6556 - 2022
- [j21]Minseok Jeon, Hakjoo Oh:
Return of CFA: call-site sensitivity can be superior to object sensitivity even for object-oriented programs. Proc. ACM Program. Lang. 6(POPL): 1-29 (2022) - [j20]Sooyoung Cha, Seongjoon Hong, Jiseong Bak, Jingyoung Kim, Junhee Lee, Hakjoo Oh:
Enhancing Dynamic Symbolic Execution by Automatically Learning Search Heuristics. IEEE Trans. Software Eng. 48(9): 3640-3663 (2022) - [c33]Junhee Lee, Seongjoon Hong, Hakjoo Oh:
NPEX: Repairing Java Null Pointer Exceptions without Tests. ICSE 2022: 1532-1544 - [c32]Sooyoung Cha, Myungho Lee, Seokhyun Lee, Hakjoo Oh:
SYMTUNER: Maximizing the Power of Symbolic Execution by Adaptively Tuning External Parameters. ICSE 2022: 2068-2079 - [c31]Wonseok Oh, Hakjoo Oh:
PyTER: effective program repair for Python type errors. ESEC/SIGSOFT FSE 2022: 922-934 - 2021
- [j19]Donghoon Jeon, Minseok Jeon, Hakjoo Oh:
A practical algorithm for learning disjunctive abstraction heuristics in static program analysis. Inf. Softw. Technol. 135: 106564 (2021) - [c30]Seunghoon Woo, Sunghan Park, Seulbae Kim, Heejo Lee, Hakjoo Oh:
Centris: A Precise and Scalable Approach for Identifying Modified Open-Source Software Reuse. ICSE 2021: 860-872 - [c29]Dowon Song, Woosuk Lee, Hakjoo Oh:
Context-aware and data-driven feedback generation for programming assignments. ESEC/SIGSOFT FSE 2021: 328-340 - [c28]Sunbeom So, Seongjoon Hong, Hakjoo Oh:
SmarTest: Effectively Hunting Vulnerable Transaction Sequences in Smart Contracts through Language Model-Guided Symbolic Execution. USENIX Security Symposium 2021: 1361-1378 - [e2]Hakjoo Oh:
Programming Languages and Systems - 19th Asian Symposium, APLAS 2021, Chicago, IL, USA, October 17-18, 2021, Proceedings. Lecture Notes in Computer Science 13008, Springer 2021, ISBN 978-3-030-89050-6 [contents] - [i6]Seunghoon Woo, Sunghan Park, Seulbae Kim, Heejo Lee, Hakjoo Oh:
CENTRIS: A Precise and Scalable Approach for Identifying Modified Open-Source Software Reuse. CoRR abs/2102.06182 (2021) - 2020
- [j18]Minseok Jeon, Myungho Lee, Hakjoo Oh:
Learning graph-based heuristics for pointer analysis without handcrafting application-specific features. Proc. ACM Program. Lang. 4(OOPSLA): 179:1-179:30 (2020) - [c27]Seongjoon Hong, Junhee Lee, Jeongsoo Lee, Hakjoo Oh:
SAVER: scalable, precise, and safe memory-error repair. ICSE 2020: 271-283 - [c26]Seokhyun Lee, Sooyoung Cha, Dain Lee, Hakjoo Oh:
Effective white-box testing of deep neural networks with adaptive neuron-selection strategy. ISSTA 2020: 165-176 - [c25]DongKwon Lee, Woosuk Lee, Hakjoo Oh, Kwangkeun Yi:
Optimizing homomorphic evaluation circuits by program synthesis and term rewriting. PLDI 2020: 503-518 - [c24]Sooyoung Cha, Hakjoo Oh:
Making symbolic execution promising by learning aggressive state-pruning strategy. ESEC/SIGSOFT FSE 2020: 147-158 - [c23]Sunbeom So, Myungho Lee, Jisu Park, Heejo Lee, Hakjoo Oh:
VERISMART: A Highly Precise Safety Verifier for Ethereum Smart Contracts. SP 2020: 1678-1694 - [e1]Hakjoo Oh, Yulei Sui:
Proceedings of the 11th ACM SIGPLAN International Workshop on Tools for Automatic Program Analysis, TAPAS@SPLASH 2020, Virtual Event, USA, November 17, 2020. ACM 2020, ISBN 978-1-4503-8189-5 [contents]
2010 – 2019
- 2019
- [j17]Dowon Song, Myungho Lee, Hakjoo Oh:
Automatic and scalable detection of logical errors in functional programming assignments. Proc. ACM Program. Lang. 3(OOPSLA): 188:1-188:30 (2019) - [j16]Minseok Jeon, Sehun Jeong, Sung Deok Cha, Hakjoo Oh:
A Machine-Learning Algorithm with Disjunctive Model for Data-Driven Program Analysis. ACM Trans. Program. Lang. Syst. 41(2): 13:1-13:41 (2019) - [c22]Kihong Heo, Hakjoo Oh, Hongseok Yang:
Resource-aware program analysis via online abstraction coarsening. ICSE 2019: 94-104 - [c21]Sooyoung Cha, Hakjoo Oh:
Concolic testing with adaptively changing search heuristics. ESEC/SIGSOFT FSE 2019: 235-245 - [i5]Sooyoung Cha, Seongjoon Hong, Jingyoung Kim, Junhee Lee, Hakjoo Oh:
Enhancing Dynamic Symbolic Execution by Automatically Learning Search Heuristics. CoRR abs/1907.09700 (2019) - [i4]Sunbeom So, Myungho Lee, Jisu Park, Heejo Lee, Hakjoo Oh:
VeriSmart: A Highly Precise Safety Verifier for Ethereum Smart Contracts. CoRR abs/1908.11227 (2019) - 2018
- [j15]Kihong Heo, Hakjoo Oh, Hongseok Yang:
Learning analysis strategies for octagon and context sensitivity from labeled data generated by static analyses. Formal Methods Syst. Des. 53(2): 189-220 (2018) - [j14]Sooyoung Cha, Sehun Jeong, Hakjoo Oh:
A scalable learning algorithm for data-driven program analysis. Inf. Softw. Technol. 104: 1-13 (2018) - [j13]Minseok Jeon, Sehun Jeong, Hakjoo Oh:
Precise and scalable points-to analysis via data-driven context tunneling. Proc. ACM Program. Lang. 2(OOPSLA): 140:1-140:29 (2018) - [j12]Junho Lee, Dowon Song, Sunbeom So, Hakjoo Oh:
Automatic diagnosis and correction of logical errors for functional programming assignments. Proc. ACM Program. Lang. 2(OOPSLA): 158:1-158:30 (2018) - [j11]Kihong Heo, Hakjoo Oh, Hongseok Yang, Kwangkeun Yi:
Adaptive Static Analysis via Learning with Bayesian Optimization. ACM Trans. Program. Lang. Syst. 40(4): 14:1-14:37 (2018) - [c20]Sooyoung Cha, Seongjoon Hong, Junhee Lee, Hakjoo Oh:
Automatically generating search heuristics for concolic testing. ICSE 2018: 1244-1254 - [c19]Sunbeom So, Hakjoo Oh:
Synthesizing Pattern Programs from Examples. IJCAI 2018: 1618-1624 - [c18]Sooyoung Cha, Seonho Lee, Hakjoo Oh:
Template-guided concolic testing via online learning. ASE 2018: 408-418 - [c17]Junhee Lee, Seongjoon Hong, Hakjoo Oh:
MemFix: static analysis-based repair of memory deallocation errors for C. ESEC/SIGSOFT FSE 2018: 95-106 - 2017
- [j10]Sehun Jeong, Minseok Jeon, Sung Deok Cha, Hakjoo Oh:
Data-driven context-sensitivity for points-to analysis. Proc. ACM Program. Lang. 1(OOPSLA): 100:1-100:28 (2017) - [j9]Kwonsoo Chae, Hakjoo Oh, Kihong Heo, Hongseok Yang:
Automatically generating features for learning program analysis heuristics for C-like languages. Proc. ACM Program. Lang. 1(OOPSLA): 101:1-101:25 (2017) - [j8]Kihong Heo, Hakjoo Oh, Kwangkeun Yi:
Selective conjunction of context-sensitivity and octagon domain toward scalable and precise global static analysis. Softw. Pract. Exp. 47(11): 1677-1705 (2017) - [j7]Woosuk Lee, Wonchan Lee, Dongok Kang, Kihong Heo, Hakjoo Oh, Kwangkeun Yi:
Sound Non-Statistical Clustering of Static Analysis Alarms. ACM Trans. Program. Lang. Syst. 39(4): 16:1-16:35 (2017) - [c16]Kihong Heo, Hakjoo Oh, Kwangkeun Yi:
Machine-learning-guided selectively unsound static analysis. ICSE 2017: 519-529 - [c15]Min-Je Choi, Sehun Jeong, Hakjoo Oh, Jaegul Choo:
End-to-End Prediction of Buffer Overruns from Raw Source Code via Neural Memory Networks. IJCAI 2017: 1546-1553 - [c14]Sunbeom So, Hakjoo Oh:
Synthesizing Imperative Programs from Examples Guided by Static Analysis. SAS 2017: 364-381 - [c13]Seulbae Kim, Seunghoon Woo, Heejo Lee, Hakjoo Oh:
VUDDY: A Scalable Approach for Vulnerable Code Clone Discovery. IEEE Symposium on Security and Privacy 2017: 595-614 - [i3]Sunbeom So, Hakjoo Oh:
Synthesizing Imperative Programs for Introductory Programming Assignments. CoRR abs/1702.06334 (2017) - [i2]Min-Je Choi, Sehun Jeong, Hakjoo Oh, Jaegul Choo:
End-to-End Prediction of Buffer Overruns from Raw Source Code via Neural Memory Networks. CoRR abs/1703.02458 (2017) - 2016
- [j6]Sol Kim, Kihong Heo, Hakjoo Oh, Kwangkeun Yi:
Widening with thresholds via binary search. Softw. Pract. Exp. 46(10): 1317-1328 (2016) - [j5]Hakjoo Oh, Wonchan Lee, Kihong Heo, Hongseok Yang, Kwangkeun Yi:
Selective X-Sensitive Analysis Guided by Impact Pre-Analysis. ACM Trans. Program. Lang. Syst. 38(2): 6:1-6:45 (2016) - [c12]Sooyoung Cha, Sehun Jeong, Hakjoo Oh:
Learning a Strategy for Choosing Widening Thresholds from a Large Codebase. APLAS 2016: 25-41 - [c11]Mina Lee, Sunbeom So, Hakjoo Oh:
Synthesizing regular expressions from examples for introductory automata assignments. GPCE 2016: 70-80 - [c10]Kihong Heo, Hakjoo Oh, Hongseok Yang:
Learning a Variable-Clustering Strategy for Octagon from Labeled Data Generated by a Static Analysis. SAS 2016: 237-256 - [c9]Hongzhe Li, Jaesang Oh, Hakjoo Oh, Heejo Lee:
Automated Source Code Instrumentation for Verifying Potential Vulnerabilities. SEC 2016: 211-226 - [i1]Kwonsoo Chae, Hakjoo Oh, Kihong Heo, Hongseok Yang:
Automatically generating features for learning program analysis heuristics. CoRR abs/1612.09394 (2016) - 2015
- [c8]Hakjoo Oh, Hongseok Yang, Kwangkeun Yi:
Learning a strategy for adapting a program analysis via bayesian optimisation. OOPSLA 2015: 572-588 - 2014
- [j4]Yoonseok Ko, Kihong Heo, Hakjoo Oh:
A sparse evaluation technique for detailed semantic analyses. Comput. Lang. Syst. Struct. 40(3-4): 99-111 (2014) - [j3]Hakjoo Oh, Kihong Heo, Wonchan Lee, Woosuk Lee, Daejun Park, Jeehoon Kang, Kwangkeun Yi:
Global Sparse Analysis Framework. ACM Trans. Program. Lang. Syst. 36(3): 8:1-8:44 (2014) - [c7]Hakjoo Oh, Wonchan Lee, Kihong Heo, Hongseok Yang, Kwangkeun Yi:
Selective context-sensitivity guided by impact pre-analysis. PLDI 2014: 475-484 - [c6]Woosuk Lee, Hakjoo Oh, Kwangkeun Yi:
A Progress Bar for Static Analyzers. SAS 2014: 184-200 - 2013
- [j2]Hakjoo Oh, Kwangkeun Yi:
Access-based abstract memory localization in static analysis. Sci. Comput. Program. 78(9): 1701-1727 (2013) - 2012
- [c5]Hakjoo Oh, Kihong Heo, Wonchan Lee, Woosuk Lee, Kwangkeun Yi:
Design and implementation of sparse global analyses for C-like languages. PLDI 2012: 229-238 - 2011
- [c4]Hakjoo Oh, Kwangkeun Yi:
Access-Based Localization with Bypassing. APLAS 2011: 50-65 - [c3]Hakjoo Oh, Lucas Brutschy, Kwangkeun Yi:
Access Analysis-Based Tight Localization of Abstract Memories. VMCAI 2011: 356-370 - 2010
- [j1]Hakjoo Oh, Kwangkeun Yi:
An algorithmic mitigation of large spurious interprocedural cycles in static analysis. Softw. Pract. Exp. 40(8): 585-603 (2010)
2000 – 2009
- 2009
- [c2]Hakjoo Oh:
Large Spurious Cycle in Global Static Analyses and Its Algorithmic Mitigation. APLAS 2009: 14-29 - [c1]Yungbum Jung, Hakjoo Oh, Kwangkeun Yi:
Identifying static analysis techniques for finding non-fix hunks in fix revisions. CIKM-DSMM 2009: 13-18
Coauthor Index
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