Shin Yoo

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 121

Top Venues

CoRR

SSBSE

ACM Trans. Softw. Eng. Methodol.

ICST

Publications

Sungmin Kang, Louis Milliken, Shin Yoo
Identifying Inaccurate Descriptions in LLM-generated Code Comments via Test Execution. CoRR (2024)
Sungmin Kang, Gabin An, Shin Yoo
A Quantitative and Qualitative Evaluation of LLM-Based Explainable Fault Localization. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Sungmin Kang, Robert Feldt, Shin Yoo
Deceiving Humans and Machines Alike: Search-based Test Input Generation for DNNs Using Variational Autoencoders. ACM Trans. Softw. Eng. Methodol. 33 (4) (2024)
Saeyoon Oh, Shin Yoo
CSA-Trans: Code Structure Aware Transformer for AST. CoRR (2024)
William B. Langdon, Gabin An, Aymeric Blot, Vesna Nowack, Justyna Petke, Shin Yoo, Oliver Krauss, Erik M. Fredericks, Daniel Blackwell
The 13th International Workshop on Genetic Improvement(GI @ ICSE 2024). ACM SIGSOFT Softw. Eng. Notes 49 (3) (2024)
Sungmin Kang, Juyeon Yoon, Shin Yoo
Large Language Models are Few-shot Testers: Exploring LLM-based General Bug Reproduction. ICSE (2023)
Jeongju Sohn, Sungmin Kang, Shin Yoo
Arachne: Search-Based Repair of Deep Neural Networks. ACM Trans. Softw. Eng. Methodol. 32 (4) (2023)
Sungmin Kang, Wonkeun Choi, Shin Yoo
A Bayesian Framework for Automated Debugging. ISSTA (2023)
Gabin An, Jingun Hong, Naryeong Kim, Shin Yoo
Fonte: Finding Bug Inducing Commits from Failures. ICSE (2023)
Robert Feldt, Sungmin Kang, Juyeon Yoon, Shin Yoo
Towards Autonomous Testing Agents via Conversational Large Language Models. ASE (2023)
Jinhan Kim, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella, Shin Yoo
Repairing DNN Architecture: Are We There Yet? CoRR (2023)
Jae Yong Lee, Sungmin Kang, Juyeon Yoon, Shin Yoo
The GitHub Recent Bugs Dataset for Evaluating LLM-based Debugging Applications. CoRR (2023)
Gabin An, Minhyuk Kwon, Kyunghwa Choi, Jooyong Yi, Shin Yoo
BUGSC++: A Highly Usable Real World Defect Benchmark for C/C++. ASE (2023)
Sungmin Kang, Shin Yoo
Towards Objective-Tailored Genetic Improvement Through Large Language Models. GI (2023)
Sungmin Kang, Shin Yoo
GLAD: Neural Predicate Synthesis to Repair Omission Faults. ICSE Companion (2023)
Jinhan Kim, Jongchan Park, Shin Yoo
The Inversive Relationship Between Bugs and Patches: An Empirical Study. CoRR (2023)
Angela Fan, Beliz Gokkaya, Mark Harman, Mitya Lyubarskiy, Shubho Sengupta, Shin Yoo, Jie M. Zhang
Large Language Models for Software Engineering: Survey and Open Problems. ICSE-FoSE (2023)
Gabin An, Juyeon Yoon, Thomas Bach, Jingun Hong, Shin Yoo
Just-in-Time Flaky Test Detection via Abstracted Failure Symptom Matching. CoRR (2023)
Sungmin Kang, Bei Chen, Shin Yoo, Jian-Guang Lou
Explainable Automated Debugging via Large Language Model-driven Scientific Debugging. CoRR (2023)
Jinhan Kim, Gabin An, Robert Feldt, Shin Yoo
Learning Test-Mutant Relationship for Accurate Fault Localisation. CoRR (2023)
Sungmin Kang, Gabin An, Shin Yoo
A Preliminary Evaluation of LLM-Based Fault Localization. CoRR (2023)
Sungmin Kang, Shin Yoo
Towards Objective-Tailored Genetic Improvement Through Large Language Models. CoRR (2023)
Jinhan Kim, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella, Shin Yoo
Repairing DNN Architecture: Are We There Yet? ICST (2023)
Sungmin Kang, Juyeon Yoon, Nargiz Askarbekkyzy, Shin Yoo
Evaluating Diverse Large Language Models for Automatic and General Bug Reproduction. CoRR (2023)
Jinhan Kim, Gabin An, Robert Feldt, Shin Yoo
Learning test-mutant relationship for accurate fault localisation. Inf. Softw. Technol. 162 (2023)
Jinhan Kim, Jongchan Park, Shin Yoo
The Inversive Relationship Between Bugs and Patches: An Empirical Study. ICSTW (2023)
Juyeon Yoon, Robert Feldt, Shin Yoo
Autonomous Large Language Model Agents Enabling Intent-Driven Mobile GUI Testing. CoRR (2023)
Angela Fan, Beliz Gokkaya, Mark Harman, Mitya Lyubarskiy, Shubho Sengupta, Shin Yoo, Jie M. Zhang
Large Language Models for Software Engineering: Survey and Open Problems. CoRR (2023)
Jinhan Kim, Robert Feldt, Shin Yoo
Evaluating Surprise Adequacy for Deep Learning System Testing. ACM Trans. Softw. Eng. Methodol. 32 (2) (2023)
Robert Feldt, Sungmin Kang, Juyeon Yoon, Shin Yoo
Towards Autonomous Testing Agents via Conversational Large Language Models. CoRR (2023)
Juyeon Yoon, Seungjoon Chung, Kihyuck Shin, Jinhan Kim, Shin Hong, Shin Yoo
Repairing Fragile GUI Test Cases Using Word and Layout Embedding. ICST (2022)
Gabin An, Shin Yoo
FDG: a precise measurement of fault diagnosability gain of test cases. ISSTA (2022)
Jinhan Kim, Juyoung Jeon, Shin Hong, Shin Yoo
Predictive Mutation Analysis via the Natural Language Channel in Source Code. ACM Trans. Softw. Eng. Methodol. 31 (4) (2022)
Gabin An, Jingun Hong, Naryeong Kim, Shin Yoo
Fonte: Finding Bug Inducing Commits from Failures. CoRR (2022)
Seungjoon Chung, Shin Yoo
Augmenting Equivalent Mutant Dataset Using Symbolic Execution. ICST Workshops (2022)
Sungmin Kang, Wonkeun Choi, Shin Yoo
A Bayesian Framework for Automated Debugging. CoRR (2022)
Gabin An, Juyeon Yoon, Jeongju Sohn, Jingun Hong, Dongwon Hwang, Shin Yoo
Automatically Identifying Shared Root Causes of Test Breakages in SAP HANA. ICSE (SEIP) (2022)
Sungmin Kang, Juyeon Yoon, Shin Yoo
Large Language Models are Few-shot Testers: Exploring LLM-based General Bug Reproduction. CoRR (2022)
Sungmin Kang, Shin Yoo
GLAD: Neural Predicate Synthesis to Repair Omission Faults. CoRR (2022)
Sungmin Kang, Shin Yoo
Language Models Can Prioritize Patches for Practical Program Patching. APR@ICSE (2022)
Junghyun Lee, Chani Jung, Yoo Hwa Park, Dongmin Lee, Juyeon Yoon, Shin Yoo
Preliminary Evaluation of SWAY in Permutation Decision Space via a Novel Euclidean Embedding. SSBSE (2021)
Kui Liu, Dongsun Kim, Tegawendé F. Bissyandé, Shin Yoo, Yves Le Traon
Mining Fix Patterns for FindBugs Violations. IEEE Trans. Software Eng. 47 (1) (2021)
Gabin An, Juyeon Yoon, Shin Yoo
Searching for Multi-Fault Programs in Defects4J. CoRR (2021)
Shin Yoo, Aldeida Aleti, Burak Turhan, Leandro L. Minku, Andriy V. Miranskyy, Çetin Meriçli
The 8th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering. ACM SIGSOFT Softw. Eng. Notes 46 (1) (2021)
Seongmin Lee, Dave W. Binkley, Robert Feldt, Nicolas Gold, Shin Yoo
Causal Program Dependence Analysis. CoRR (2021)
Robert Feldt, Shin Yoo
Special Issue: IEEE International Conference on Software Testing, Validation & Verification 2018. Softw. Test. Verification Reliab. 31 (1-2) (2021)
Jinhan Kim, Juyoung Jeon, Shin Hong, Shin Yoo
Predictive Mutation Analysis via Natural Language Channel in Source Code. CoRR (2021)
Gabin An, Juyeon Yoon, Shin Yoo
Searching for Multi-fault Programs in Defects4J. SSBSE (2021)
Joengju Sohn, Shin Yoo
Empirical Evaluation of Fault Localisation Using Code and Change Metrics. IEEE Trans. Software Eng. 47 (8) (2021)
Gabin An, Juyeon Yoon, Joyce Jiyoung Whang, Shin Yoo
Improving Test Distance for Failure Clustering with Hypergraph Modelling. CoRR (2021)
Yu-Seung Ma, Shin Yoo, Taeho Kim
Selecting test inputs for DNNs using differential testing with subspecialized model instances. ESEC/SIGSOFT FSE (2021)
Seongmin Lee, Dave W. Binkley, Robert Feldt, Nicolas Gold, Shin Yoo
Observation-based approximate dependency modeling and its use for program slicing. J. Syst. Softw. 179 (2021)
Gabin An, Shin Yoo
Human-in-the-Loop Fault Localisation Using Efficient Test Prioritisation of Generated Tests. CoRR (2021)
Gabin An, Shin Yoo
Reducing the search space of bug inducing commits using failure coverage. ESEC/SIGSOFT FSE (2021)
Jeongju Sohn, Gabin An, Jingun Hong, Dongwon Hwang, Shin Yoo
Assisting Bug Report Assignment Using Automated Fault Localisation: An Industrial Case Study. ICST (2021)
Seah Kim, Shin Yoo
Multimodal Surprise Adequacy Analysis of Inputs for Natural Language Processing DNN Models. AST@ICSE (2021)
Juyeon Yoon, Shin Yoo
Enhancing Lexical Representation of Test Coverage for Failure Clustering. ASE Workshops (2021)
Jinhan Kim, Gabin An, Robert Feldt, Shin Yoo
Ahead of Time Mutation Based Fault Localisation using Statistical Inference. ISSRE (2021)
Saeyoon Oh, Seongmin Lee, Shin Yoo
Effectively Sampling Higher Order Mutants Using Causal Effect. ICST Workshops (2021)
Saeyoon Oh, Seongmin Lee, Shin Yoo
Effectively Sampling Higher Order Mutants Using Causal Effect. CoRR (2021)
Seunghee Han, Jaeuk Kim, Geon Kim, Jaemin Cho, Jiin Kim, Shin Yoo
Preliminary Evaluation of Path-aware Crossover Operators for Search-Based Test Data Generation for Autonomous Driving. SBST@ICSE (2021)
Jeongju Sohn, Yasutaka Kamei, Shane McIntosh, Shin Yoo
Leveraging Fault Localisation to Enhance Defect Prediction. SANER (2021)
Jinhan Kim, Jeongil Ju, Robert Feldt, Shin Yoo
Reducing DNN Labelling Cost using Surprise Adequacy: An Industrial Case Study for Autonomous Driving. CoRR (2020)
William B. Langdon, Westley Weimer, Justyna Petke, Erik M. Fredericks, Seongmin Lee, Emily Winter, Michail Basios, Myra B. Cohen, Aymeric Blot, Markus Wagner, Bobby R. Bruce, Shin Yoo, Simos Gerasimou, Oliver Krauss, Yu Huang, Michael C. Gerten
Genetic Improvement @ ICSE 2020. ACM SIGSOFT Softw. Eng. Notes 45 (4) (2020)
Sungmin Kang, Robert Feldt, Shin Yoo
SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation. CoRR (2020)
Sungmin Kang, Robert Feldt, Shin Yoo
SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation. ICSE (Workshops) (2020)
Seah Kim, Shin Yoo
Evaluating Surprise Adequacy for Question Answering. ICSE (Workshops) (2020)
Seongmin Lee, Dave W. Binkley, Nicolas Gold, Syed S. Islam, Jens Krinke, Shin Yoo
Evaluating lexical approximation of program dependence. J. Syst. Softw. 160 (2020)
Paul Ralph, Sebastian Baltes, Gianisa Adisaputri, Richard Torkar, Vladimir Kovalenko, Marcos Kalinowski, Nicole Novielli, Shin Yoo, Xavier Devroey, Xin Tan, Minghui Zhou, Burak Turhan, Rashina Hoda, Hideaki Hata, Gregorio Robles, Amin Milani Fard, Rana Alkadhi
Pandemic programming. Empir. Softw. Eng. 25 (6) (2020)
Jinhan Kim, Jeongil Ju, Robert Feldt, Shin Yoo
Reducing DNN labelling cost using surprise adequacy: an industrial case study for autonomous driving. ESEC/SIGSOFT FSE (2020)
Robert Feldt, Shin Yoo
Flexible Probabilistic Modeling for Search Based Test Data Generation. ICSE (Workshops) (2020)
Federica Sarro, Alessio Petrozziello, Dan-Qi He, Shin Yoo
A new approach to distribute MOEA pareto front computation. GECCO Companion (2020)
Paul Ralph, Sebastian Baltes, Gianisa Adisaputri, Richard Torkar, Vladimir Kovalenko, Marcos Kalinowski, Nicole Novielli, Shin Yoo, Xavier Devroey, Xin Tan, Minghui Zhou, Burak Turhan, Rashina Hoda, Hideaki Hata, Gregorio Robles, Amin Milani Fard, Rana Alkadhi
Pandemic Programming: How COVID-19 affects software developers and how their organizations can help. CoRR (2020)
William B. Langdon, Westley Weimer, Justyna Petke, Erik M. Fredericks, Seongmin Lee, Emily Winter, Michail Basios, Myra B. Cohen, Aymeric Blot, Markus Wagner, Bobby R. Bruce, Shin Yoo, Simos Gerasimou, Oliver Krauss, Yu Huang, Michael C. Gerten
Genetic Improvement @ ICSE 2020. CoRR (2020)
Gabin An, Aymeric Blot, Justyna Petke, Shin Yoo
PyGGI 2.0: language independent genetic improvement framework. ESEC/SIGSOFT FSE (2019)
Jinhan Kim, Shin Yoo
Software review: DEAP (Distributed Evolutionary Algorithm in Python) library. Genet. Program. Evolvable Mach. 20 (1) (2019)
Shin Yoo
SBST in the age of machine learning systems: challenges ahead. SBST@ICSE (2019)
Jeongju Sohn, Sungmin Kang, Shin Yoo
Search Based Repair of Deep Neural Networks. CoRR (2019)
Jinhan Kim, Robert Feldt, Shin Yoo
Guiding deep learning system testing using surprise adequacy. ICSE (2019)
Yunho Kim, Seokhyeon Mun, Shin Yoo, Moonzoo Kim
Precise Learn-to-Rank Fault Localization Using Dynamic and Static Features of Target Programs. ACM Trans. Softw. Eng. Methodol. 28 (4) (2019)
Donghwan Shin, Shin Yoo, Mike Papadakis, Doo-Hwan Bae
Empirical evaluation of mutation-based test case prioritization techniques. Softw. Test. Verification Reliab. 29 (1-2) (2019)
Jinhan Kim, Gabin An, Robert Feldt, Shin Yoo
Amortising the Cost of Mutation Based Fault Localisation using Statistical Inference. CoRR (2019)
Jeongju Sohn, Shin Yoo
Why train-and-select when you can use them all?: ensemble model for fault localisation. GECCO (2019)
Seongmin Lee, Shin Hong, Jungbae Yi, Taeksu Kim, Chul-Joo Kim, Shin Yoo
Classifying False Positive Static Checker Alarms in Continuous Integration Using Convolutional Neural Networks. ICST (2019)
David W. Binkley, Nicolas Gold, Syed S. Islam, Jens Krinke, Shin Yoo
A comparison of tree- and line-oriented observational slicing. Empir. Softw. Eng. 24 (5) (2019)
Seongmin Lee, David W. Binkley, Robert Feldt, Nicolas Gold, Shin Yoo
MOAD: Modeling Observation-Based Approximate Dependency. SCAM (2019)
Donghwan Shin, Shin Yoo, Doo-Hwan Bae
A Theoretical and Empirical Study of Diversity-Aware Mutation Adequacy Criterion. IEEE Trans. Software Eng. 44 (10) (2018)
Mike Papadakis, Donghwan Shin, Shin Yoo, Doo-Hwan Bae
Are mutation scores correlated with real fault detection?: a large scale empirical study on the relationship between mutants and real faults. ICSE (2018)
Jinhan Kim, Michael G. Epitropakis, Shin Yoo
Learning Without Peeking: Secure Multi-party Computation Genetic Programming. SSBSE (2018)
Kabdo Choi, Jeongju Sohn, Shin Yoo
Learning Fault Localisation for both Humans and Machines Using Multi-objective GP. SSBSE (2018)
Junhwi Kim, Minhyuk Kwon, Shin Yoo
Generating test input with deep reinforcement learning. SBST@ICSE (2018)
Jinhan Kim, Robert Feldt, Shin Yoo
Guiding Deep Learning System Testing using Surprise Adequacy. CoRR (2018)
Gabin An, Jinhan Kim, Shin Yoo
Comparing line and AST granularity level for program repair using PyGGI. GI@ICSE (2018)
Seongmin Lee, David W. Binkley, Nicolas Gold, Syed S. Islam, Jens Krinke, Shin Yoo
MOBS: multi-operator observation-based slicing using lexical approximation of program dependence. ICSE (Companion Volume) (2018)
Shin Yoo
Embedding genetic improvement into programming languages. GECCO (Companion) (2017)
Dahyun Kang, Jeongju Sohn, Shin Yoo
Empirical evaluation of conditional operators in GP based fault localization. GECCO (2017)
Kui Liu, Dongsun Kim, Tegawendé F. Bissyandé, Shin Yoo, Yves Le Traon
Mining Fix Patterns for FindBugs Violations. CoRR (2017)
Jinhan Kim, Junhwi Kim, Shin Yoo
GPGPGPU: Evaluation of Parallelisation of Genetic Programming Using GPGPU. SSBSE (2017)
Claire Le Goues, Shin Yoo
Guest editorial for special section on research in search-based software engineering. Empir. Softw. Eng. 22 (2) (2017)
Jeongju Sohn, Shin Yoo
FLUCCS: using code and change metrics to improve fault localization. ISSTA (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shin Yoo