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Miryung Kim

University of California, Los Angeles · US
Area of research
Software · Information Systems
Research interest
Research interests include Software Engineering Research, Software Testing and Debugging Techniques, Software Reliability and Analysis Research, and Software System Performance and Reliability.
h-index
44
citations
7,406
works
163
NIH funding
—
primary concept
—
email
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Recent publications

Automatically Detecting Numerical Instability in Machine Learning Applications via Soft Assertions
Proceedings of the ACM on Software Engineering 2025cited by 1position: contributordoi
DuoReduce: Bug Isolation for Multi-layer Extensible Compilation
Proceedings of the ACM on Software Engineering 2025cited by 0position: contributordoi
Natural Symbolic Execution-Based Testing for Big Data Analytics
Proceedings of the ACM on Software Engineering 2024cited by 6position: contributordoi
Scaling Code Pattern Inference with Interactive What-If Analysis
Proceedings of the IEEE/ACM 46th International Conference on Software Engineering 2024cited by 0position: contributordoi
A Declarative Metamorphic Testing Framework for Autonomous Driving
IEEE Transactions on Software Engineering 2023cited by 44position: contributordoi
Leveraging Hardware Probes and Optimizations for Accelerating Fuzz Testing of Heterogeneous Applications
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering 2023cited by 3position: contributordoi
Co-dependence Aware Fuzzing for Dataflow-Based Big Data Analytics
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering 2023cited by 2position: contributordoi
A Declarative Metamorphic Testing Framework for Autonomous Driving
IEEE Transactions on Software Engineering 2022cited by 48position: middledoi
QDiff: Differential Testing of Quantum Software Stacks
2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) 2021cited by 48position: lastdoi
An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models
2020cited by 163position: lastdoi
Is neuron coverage a meaningful measure for testing deep neural networks?
2020cited by 150position: lastdoi
Software Engineering for Data Analytics
IEEE Software 2020cited by 7position: contributordoi
An Empirical Study of Common Challenges in Developing Deep Learning Applications
2019cited by 146position: lastdoi
Data Scientists in Software Teams: State of the Art and Challenges
IEEE Transactions on Software Engineering 2017cited by 202position: firstdoi
BigDebug
2016cited by 67position: lastdoi
Titian: Data Provenance Support in Spark.
PubMed 2015cited by 88position: middle
Perceptions on the State of the Art in Verification and Validation in Cyber-Physical Systems
IEEE Systems Journal 2015cited by 86position: middledoi

Grants

Collaborative Research: SHF: Small: Software Developer Tools for Enabling Heterogeneous Computing
NSF2426162$281,3852024–2027PIRePORTER
Collaborative Research: SHF: Medium: Reinventing Fuzz Testing for Data and Compute Intensive Systems
NSF2106404$576,0182021–2027PIRePORTER
CHS: Medium: Collaborative Research: Code demography: Addressing information needs at scale for programming interface users and designers
NSF1956322$150,0002020–2024PIRePORTER
SHF: Medium: Interactive Debegging for Big Data Analytics
NSF1764077$900,0002018–2024PIRePORTER
I-Corps: Interactive and Automated Debugging for Big Data Analytics
NSF1842657$50,0002018–2020PIRePORTER
CAREER: Analysis and Automation of Systematic Software Modifications
NSF1460325$437,2852014–2019PIRePORTER
SHF: Small: Analytical Support for Investigating Software Modifications in Collaborative Development Environment
NSF1533791$225,3342014–2015PIRePORTER
CAREER: Analysis and Automation of Systematic Software Modifications
NSF1149391$267,3342012–2014PIRePORTER
SHF: Small: Analytical Support for Investigating Software Modifications in Collaborative Development Environment
NSF1117902$512,1372011–2015PIRePORTER
Information Needs about Software Modification during Collaborative Development Tasks
NSF1043810$79,9052010–2012PIRePORTER

Frequent collaborators

— · 8 papers (2020–2025)Xi Zheng · The University of Texas at Austin3 papers (2015–2022)Tianyi Zhang · Purdue University West Lafayette3 papers (2019–2022)Muhammad Ali Gulzar · Virginia Tech3 papers (2015–2020)Yao Deng · Macquarie University2 papers (2020–2022)Matteo Interlandi · Microsoft (Germany)2 papers (2015–2016)Sai Deep Tetali · META Health2 papers (2015–2016)— · 2 papers (2024–2025)Qian Zhang · University of California, Riverside2 papers (2023–2025)Ahmad Humayun · Virginia Tech2 papers (2023–2024)— · 2 papers (2023–2024)Jiyuan Wang · University of California, Los Angeles2 papers (2023–2025)Todd Millstein · University of California, Los Angeles2 papers (2015–2016)Tyson Condie · University of California, Los Angeles2 papers (2015–2016)Guannan Lou · University of Sheffield2 papers (2020–2022)Quanquan Gu · University of California, Los Angeles1 papers (2020–2020)Thomas Zimmermann · Seattle University1 papers (2017–2017)Michael R. Lyu · Chinese University of Hong Kong1 papers (2019–2019)Andrew Begel · Carnegie Mellon University1 papers (2017–2017)Chen Chen · University of Central Florida1 papers (2020–2020)