Shin Yoo - RankMe

185 papers A* 6A 25B 16C 5Journal 91Unranked 42

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Revisiting "Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and Distribution-Aware Criterion": A Critical Review and Implications on DNN Coverage Testing. CoRR Jinhan Kim, Nargiz Humbatova, Gunel Jahangirova, Shin Yoo, Paolo Tonella
2025	—	`conf`	Adaptive Testing for LLM-Based Applications: A Diversity-Based Approach. ICSTW Juyeon Yoon, Robert Feldt, Shin Yoo
2025	J	`jnl`	Adaptive Testing for LLM-Based Applications: A Diversity-based Approach. CoRR Juyeon Yoon, Robert Feldt, Shin Yoo
2025	J	`jnl`	An empirical study of fault localisation techniques for deep neural networks. Empir. Softw. Eng. Nargiz Humbatova, Jinhan Kim, Gunel Jahangirova, Shin Yoo, Paolo Tonella
2025	A	`conf`	Beyond pip Install: Evaluating LLM Agents for the Automated Installation of Python Projects. SANER Louis Milliken, Sungmin Kang, Shin Yoo
2025	—	`conf`	COSMosFL: Ensemble of Small Language Models for Fault Localisation. LLM4Code@ICSE Hyunjoon Cho, Sungmin Kang, Gabin An, Shin Yoo
2025	J	`jnl`	COSMosFL: Ensemble of Small Language Models for Fault Localisation. CoRR Hyunjoon Cho, Sungmin Kang, Gabin An, Shin Yoo
2025	J	`jnl`	Can We Predict the Effect of Prompts? CoRR Jae Yong Lee, Sungmin Kang, Shin Yoo
2025	—	`conf`	Capturing Semantic Flow of ML-based Systems. SIGSOFT FSE Companion Shin Yoo, Robert Feldt, Somin Kim, Naryeong Kim
2025	J	`jnl`	Capturing Semantic Flow of ML-based Systems. CoRR Shin Yoo, Robert Feldt, Somin Kim, Naryeong Kim
2025	J	`jnl`	Causal program dependence analysis. Sci. Comput. Program. Seongmin Lee, Dave W. Binkley, Robert Feldt, Nicolas Gold, Shin Yoo
2025	J	`jnl`	Challenges in Testing Large Language Model Based Software: A Faceted Taxonomy. CoRR Felix Dobslaw, Robert Feldt, Juyeon Yoon, Shin Yoo
2025	J	`jnl`	Clotho: Measuring Task-Specific Pre-Generation Test Adequacy for LLM Inputs. CoRR Juyeon Yoon, Somin Kim, Robert Feldt, Shin Yoo
2025	—	`conf`	DANDI: Diffusion as Normative Distribution for Deep Neural Network Input. DeepTest Somin Kim, Shin Yoo
2025	J	`jnl`	DANDI: Diffusion as Normative Distribution for Deep Neural Network Input. CoRR Somin Kim, Shin Yoo
2025	A	`conf`	Evaluating Machine Learning-Based Test Case Prioritization in the Real World: An Experiment with SAP HANA. ICST Jeongki Son, Gabin An, Jingun Hong, Shin Yoo
2025	J	`jnl`	Explainable automated debugging via large language model-driven scientific debugging. Empir. Softw. Eng. Sungmin Kang, Bei Chen, Shin Yoo, Jian-Guang Lou
2025	J	`jnl`	Fault Localisation and Repair for DL Systems: An Empirical Study with LLMs. CoRR Jinhan Kim, Nargiz Humbatova, Gunel Jahangirova, Shin Yoo, Paolo Tonella
2025	J	`jnl`	Finding the Needle in the Crash Stack: Industrial-Scale Crash Root Cause Localization with AutoCrashFL. CoRR Sungmin Kang, Sumi Yun, Jingun Hong, Shin Yoo, Gabin An
2025	J	`jnl`	Identifying Bug Inducing Commits by Combining Fault Localisation and Code Change Histories. CoRR Gabin An, Jinsu Choi, Jingun Hong, Naryeong Kim, Shin Yoo
2025	A	`conf`	Integrating LLM-Based Text Generation with Dynamic Context Retrieval for GUI Testing. ICST Juyeon Yoon, Seah Kim, Somin Kim, Sukchul Jung, Shin Yoo
2025	—	`conf`	Lachesis: Predicting LLM Inference Accuracy using Structural Properties of Reasoning Paths. DeepTest Naryeong Kim, Sungmin Kang, Gabin An, Shin Yoo
2025	J	`jnl`	METAMON: Finding Inconsistencies between Program Documentation and Behavior using Metamorphic LLM Queries. CoRR Hyeonseok Lee, Gabin An, Shin Yoo
2025	—	`conf`	Metamon: Finding Inconsistencies between Program Documentation and Behavior using Metamorphic LLM Queries. LLM4Code@ICSE Hyeonseok Lee, Gabin An, Shin Yoo
2025	J	`jnl`	MuFF: Stable and Sensitive Post-training Mutation Testing for Deep Learning. CoRR Jinhan Kim, Nargiz Humbatova, Gunel Jahangirova, Shin Yoo, Paolo Tonella
2025	J	`jnl`	New Formulation of DNN Statistical Mutation Killing for Ensuring Monotonicity: A Technical Report. CoRR Jinhan Kim, Nargiz Humbatova, Gunel Jahangirova, Shin Yoo, Paolo Tonella
2025	J	`jnl`	PapersPlease: A Benchmark for Evaluating Motivational Values of Large Language Models Based on ERG Theory. CoRR Junho Myung, Yeon Su Park, Sunwoo Kim, Shin Yoo, Alice Oh
2025	—	`conf`	Predictive Prompt Analysis. SIGSOFT FSE Companion Jae Yong Lee, Sungmin Kang, Shin Yoo
2024	J	`jnl`	A Quantitative and Qualitative Evaluation of LLM-Based Explainable Fault Localization. Proc. ACM Softw. Eng. Sungmin Kang, Gabin An, Shin Yoo
2024	J	`jnl`	An Empirical Study of Fault Localisation Techniques for Deep Learning. CoRR Nargiz Humbatova, Jinhan Kim, Gunel Jahangirova, Shin Yoo, Paolo Tonella
2024	J	`jnl`	Beyond pip install: Evaluating LLM Agents for the Automated Installation of Python Projects. CoRR Louis Milliken, Sungmin Kang, Shin Yoo
2024	J	`jnl`	CSA-Trans: Code Structure Aware Transformer for AST. CoRR Saeyoon Oh, Shin Yoo
2024	J	`jnl`	Deceiving Humans and Machines Alike: Search-based Test Input Generation for DNNs Using Variational Autoencoders. ACM Trans. Softw. Eng. Methodol. Sungmin Kang, Robert Feldt, Shin Yoo
2024	J	`jnl`	Evaluating Diverse Large Language Models for Automatic and General Bug Reproduction. IEEE Trans. Software Eng. Sungmin Kang, Juyeon Yoon, Nargiz Askarbekkyzy, Shin Yoo
2024	J	`jnl`	Identifying Inaccurate Descriptions in LLM-generated Code Comments via Test Execution. CoRR Sungmin Kang, Louis Milliken, Shin Yoo
2024	A	`conf`	Intent-Driven Mobile GUI Testing with Autonomous Large Language Model Agents. ICST Juyeon Yoon, Robert Feldt, Shin Yoo
2024	B	`conf`	Iterative Refactoring of Real-World Open-Source Programs with Large Language Models. SSBSE Jinsu Choi, Gabin An, Shin Yoo
2024	A	`conf`	Just-in-Time Flaky Test Detection via Abstracted Failure Symptom Matching. ICSME Gabin An, Juyeon Yoon, Thomas Bach, Jingun Hong, Shin Yoo
2024	J	`jnl`	Lachesis: Predicting LLM Inference Accuracy using Structural Properties of Reasoning Paths. CoRR Naryeong Kim, Sungmin Kang, Gabin An, Shin Yoo
2024	J	`jnl`	Real Faults in Deep Learning Fault Benchmarks: How Real Are They? CoRR Gunel Jahangirova, Nargiz Humbatova, Jinhan Kim, Shin Yoo, Paolo Tonella
2024	J	`jnl`	The 13th International Workshop on Genetic Improvement(GI @ ICSE 2024). ACM SIGSOFT Softw. Eng. Notes William B. Langdon, Gabin An, Aymeric Blot, Vesna Nowack, Justyna Petke, Shin Yoo, Oliver Krauss, Erik M. Fredericks, Daniel Blackwell
2024	A	`conf`	The GitHub Recent Bugs Dataset for Evaluating LLM-Based Debugging Applications. ICST Jae Yong Lee, Sungmin Kang, Juyeon Yoon, Shin Yoo
2023	A	`conf`	A Bayesian Framework for Automated Debugging. ISSTA Sungmin Kang, Wonkeun Choi, Shin Yoo
2023	J	`jnl`	A Preliminary Evaluation of LLM-Based Fault Localization. CoRR Sungmin Kang, Gabin An, Shin Yoo
2023	J	`jnl`	Arachne: Search-Based Repair of Deep Neural Networks. ACM Trans. Softw. Eng. Methodol. Jeongju Sohn, Sungmin Kang, Shin Yoo
2023	J	`jnl`	Autonomous Large Language Model Agents Enabling Intent-Driven Mobile GUI Testing. CoRR Juyeon Yoon, Robert Feldt, Shin Yoo
2023	A*	`conf`	BUGSC++: A Highly Usable Real World Defect Benchmark for C/C++. ASE Gabin An, Minhyuk Kwon, Kyunghwa Choi, Jooyong Yi, Shin Yoo
2023	J	`jnl`	Evaluating Diverse Large Language Models for Automatic and General Bug Reproduction. CoRR Sungmin Kang, Juyeon Yoon, Nargiz Askarbekkyzy, Shin Yoo
2023	J	`jnl`	Evaluating Surprise Adequacy for Deep Learning System Testing. ACM Trans. Softw. Eng. Methodol. Jinhan Kim, Robert Feldt, Shin Yoo
2023	J	`jnl`	Explainable Automated Debugging via Large Language Model-driven Scientific Debugging. CoRR Sungmin Kang, Bei Chen, Shin Yoo, Jian-Guang Lou
2023	A*	`conf`	Fonte: Finding Bug Inducing Commits from Failures. ICSE Gabin An, Jingun Hong, Naryeong Kim, Shin Yoo
2023	—	`conf`	GLAD: Neural Predicate Synthesis to Repair Omission Faults. ICSE Companion Sungmin Kang, Shin Yoo
2023	J	`jnl`	Just-in-Time Flaky Test Detection via Abstracted Failure Symptom Matching. CoRR Gabin An, Juyeon Yoon, Thomas Bach, Jingun Hong, Shin Yoo
2023	A*	`conf`	Large Language Models are Few-shot Testers: Exploring LLM-based General Bug Reproduction. ICSE Sungmin Kang, Juyeon Yoon, Shin Yoo
2023	—	`conf`	Large Language Models for Software Engineering: Survey and Open Problems. ICSE-FoSE Angela Fan, Beliz Gokkaya, Mark Harman, Mitya Lyubarskiy, Shubho Sengupta, Shin Yoo, Jie M. Zhang
2023	J	`jnl`	Large Language Models for Software Engineering: Survey and Open Problems. CoRR Angela Fan, Beliz Gokkaya, Mark Harman, Mitya Lyubarskiy, Shubho Sengupta, Shin Yoo, Jie M. Zhang
2023	J	`jnl`	Learning Test-Mutant Relationship for Accurate Fault Localisation. CoRR Jinhan Kim, Gabin An, Robert Feldt, Shin Yoo
2023	J	`jnl`	Learning test-mutant relationship for accurate fault localisation. Inf. Softw. Technol. Jinhan Kim, Gabin An, Robert Feldt, Shin Yoo
2023	A	`conf`	Repairing DNN Architecture: Are We There Yet? ICST Jinhan Kim, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella, Shin Yoo
2023	J	`jnl`	Repairing DNN Architecture: Are We There Yet? CoRR Jinhan Kim, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella, Shin Yoo
2023	J	`jnl`	The GitHub Recent Bugs Dataset for Evaluating LLM-based Debugging Applications. CoRR Jae Yong Lee, Sungmin Kang, Juyeon Yoon, Shin Yoo
2023	—	`conf`	The Inversive Relationship Between Bugs and Patches: An Empirical Study. ICSTW Jinhan Kim, Jongchan Park, Shin Yoo
2023	J	`jnl`	The Inversive Relationship Between Bugs and Patches: An Empirical Study. CoRR Jinhan Kim, Jongchan Park, Shin Yoo
2023	A*	`conf`	Towards Autonomous Testing Agents via Conversational Large Language Models. ASE Robert Feldt, Sungmin Kang, Juyeon Yoon, Shin Yoo
2023	J	`jnl`	Towards Autonomous Testing Agents via Conversational Large Language Models. CoRR Robert Feldt, Sungmin Kang, Juyeon Yoon, Shin Yoo
2023	B	`conf`	Towards Objective-Tailored Genetic Improvement Through Large Language Models. GI Sungmin Kang, Shin Yoo
2023	J	`jnl`	Towards Objective-Tailored Genetic Improvement Through Large Language Models. CoRR Sungmin Kang, Shin Yoo
2022	J	`jnl`	A Bayesian Framework for Automated Debugging. CoRR Sungmin Kang, Wonkeun Choi, Shin Yoo
2022	—	`conf`	Augmenting Equivalent Mutant Dataset Using Symbolic Execution. ICST Workshops Seungjoon Chung, Shin Yoo
2022	—	`conf`	Automatically Identifying Shared Root Causes of Test Breakages in SAP HANA. ICSE (SEIP) Gabin An, Juyeon Yoon, Jeongju Sohn, Jingun Hong, Dongwon Hwang, Shin Yoo
2022	A	`conf`	FDG: a precise measurement of fault diagnosability gain of test cases. ISSTA Gabin An, Shin Yoo
2022	J	`jnl`	Fonte: Finding Bug Inducing Commits from Failures. CoRR Gabin An, Jingun Hong, Naryeong Kim, Shin Yoo
2022	J	`jnl`	GLAD: Neural Predicate Synthesis to Repair Omission Faults. CoRR Sungmin Kang, Shin Yoo
2022	—	`conf`	Language Models Can Prioritize Patches for Practical Program Patching. APR@ICSE Sungmin Kang, Shin Yoo
2022	J	`jnl`	Large Language Models are Few-shot Testers: Exploring LLM-based General Bug Reproduction. CoRR Sungmin Kang, Juyeon Yoon, Shin Yoo
2022	J	`jnl`	Predictive Mutation Analysis via the Natural Language Channel in Source Code. ACM Trans. Softw. Eng. Methodol. Jinhan Kim, Juyoung Jeon, Shin Hong, Shin Yoo
2022	A	`conf`	Repairing Fragile GUI Test Cases Using Word and Layout Embedding. ICST Juyeon Yoon, Seungjoon Chung, Kihyuck Shin, Jinhan Kim, Shin Hong, Shin Yoo
2021	A	`conf`	Ahead of Time Mutation Based Fault Localisation using Statistical Inference. ISSRE Jinhan Kim, Gabin An, Robert Feldt, Shin Yoo
2021	A	`conf`	Assisting Bug Report Assignment Using Automated Fault Localisation: An Industrial Case Study. ICST Jeongju Sohn, Gabin An, Jingun Hong, Dongwon Hwang, Shin Yoo
2021	J	`jnl`	Causal Program Dependence Analysis. CoRR Seongmin Lee, Dave W. Binkley, Robert Feldt, Nicolas Gold, Shin Yoo
2021	—	`conf`	Effectively Sampling Higher Order Mutants Using Causal Effect. ICST Workshops Saeyoon Oh, Seongmin Lee, Shin Yoo
2021	J	`jnl`	Effectively Sampling Higher Order Mutants Using Causal Effect. CoRR Saeyoon Oh, Seongmin Lee, Shin Yoo
2021	J	`jnl`	Empirical Evaluation of Fault Localisation Using Code and Change Metrics. IEEE Trans. Software Eng. Jeongju Sohn, Shin Yoo
2021	—	`conf`	Enhancing Lexical Representation of Test Coverage for Failure Clustering. ASE Workshops Juyeon Yoon, Shin Yoo
2021	J	`jnl`	Human-in-the-Loop Fault Localisation Using Efficient Test Prioritisation of Generated Tests. CoRR Gabin An, Shin Yoo
2021	J	`jnl`	Improving Test Distance for Failure Clustering with Hypergraph Modelling. CoRR Gabin An, Juyeon Yoon, Joyce Jiyoung Whang, Shin Yoo
2021	A	`conf`	Leveraging Fault Localisation to Enhance Defect Prediction. SANER Jeongju Sohn, Yasutaka Kamei, Shane McIntosh, Shin Yoo
2021	J	`jnl`	Mining Fix Patterns for FindBugs Violations. IEEE Trans. Software Eng. Kui Liu, Dongsun Kim, Tegawendé F. Bissyandé, Shin Yoo, Yves Le Traon
2021	C	`conf`	Multimodal Surprise Adequacy Analysis of Inputs for Natural Language Processing DNN Models. AST Seah Kim, Shin Yoo
2021	J	`jnl`	Observation-based approximate dependency modeling and its use for program slicing. J. Syst. Softw. Seongmin Lee, Dave W. Binkley, Robert Feldt, Nicolas Gold, Shin Yoo
2021	J	`jnl`	Predictive Mutation Analysis via Natural Language Channel in Source Code. CoRR Jinhan Kim, Juyoung Jeon, Shin Hong, Shin Yoo
2021	—	`conf`	Preliminary Evaluation of Path-aware Crossover Operators for Search-Based Test Data Generation for Autonomous Driving. SBST@ICSE Seunghee Han, Jaeuk Kim, Geon Kim, Jaemin Cho, Jiin Kim, Shin Yoo
2021	B	`conf`	Preliminary Evaluation of SWAY in Permutation Decision Space via a Novel Euclidean Embedding. SSBSE Junghyun Lee, Chani Jung, Yoo Hwa Park, Dongmin Lee, Juyeon Yoon, Shin Yoo
2021	—	`conf`	Reducing the search space of bug inducing commits using failure coverage. ESEC/SIGSOFT FSE Gabin An, Shin Yoo
2021	J	`jnl`	Searching for Multi-Fault Programs in Defects4J. CoRR Gabin An, Juyeon Yoon, Shin Yoo
2021	B	`conf`	Searching for Multi-fault Programs in Defects4J. SSBSE Gabin An, Juyeon Yoon, Shin Yoo
2021	—	`conf`	Selecting test inputs for DNNs using differential testing with subspecialized model instances. ESEC/SIGSOFT FSE Yu-Seung Ma, Shin Yoo, Taeho Kim
2021	J	`jnl`	Special Issue: IEEE International Conference on Software Testing, Validation & Verification 2018. Softw. Test. Verification Reliab. Robert Feldt, Shin Yoo
2021	J	`jnl`	The 8th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering. ACM SIGSOFT Softw. Eng. Notes Shin Yoo, Aldeida Aleti, Burak Turhan, Leandro L. Minku, Andriy V. Miranskyy, Çetin Meriçli
2020	—	`conf`	A new approach to distribute MOEA pareto front computation. GECCO Companion Federica Sarro, Alessio Petrozziello, Dan-Qi He, Shin Yoo
2020	—	`conf`	Evaluating Surprise Adequacy for Question Answering. ICSE (Workshops) Seah Kim, Shin Yoo
2020	J	`jnl`	Evaluating lexical approximation of program dependence. J. Syst. Softw. Seongmin Lee, Dave W. Binkley, Nicolas Gold, Syed S. Islam, Jens Krinke, Shin Yoo
2020	—	`conf`	Flexible Probabilistic Modeling for Search Based Test Data Generation. ICSE (Workshops) Robert Feldt, Shin Yoo
2020	J	`jnl`	Genetic Improvement @ ICSE 2020. CoRR 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
2020	J	`jnl`	Genetic Improvement @ ICSE 2020. ACM SIGSOFT Softw. Eng. Notes 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
2020	J	`jnl`	Pandemic Programming: How COVID-19 affects software developers and how their organizations can help. CoRR 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
2020	J	`jnl`	Pandemic programming. Empir. Softw. Eng. 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
2020	J	`jnl`	Reducing DNN Labelling Cost using Surprise Adequacy: An Industrial Case Study for Autonomous Driving. CoRR Jinhan Kim, Jeongil Ju, Robert Feldt, Shin Yoo
2020	—	`conf`	Reducing DNN labelling cost using surprise adequacy: an industrial case study for autonomous driving. ESEC/SIGSOFT FSE Jinhan Kim, Jeongil Ju, Robert Feldt, Shin Yoo
2020	—	`conf`	SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation. ICSE (Workshops) Sungmin Kang, Robert Feldt, Shin Yoo
2020	J	`jnl`	SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation. CoRR Sungmin Kang, Robert Feldt, Shin Yoo
2019	J	`jnl`	A comparison of tree- and line-oriented observational slicing. Empir. Softw. Eng. David W. Binkley, Nicolas Gold, Syed S. Islam, Jens Krinke, Shin Yoo
2019	J	`jnl`	Amortising the Cost of Mutation Based Fault Localisation using Statistical Inference. CoRR Jinhan Kim, Gabin An, Robert Feldt, Shin Yoo
2019	A	`conf`	Classifying False Positive Static Checker Alarms in Continuous Integration Using Convolutional Neural Networks. ICST Seongmin Lee, Shin Hong, Jungbae Yi, Taeksu Kim, Chul-Joo Kim, Shin Yoo
2019	J	`jnl`	Empirical evaluation of mutation-based test case prioritization techniques. Softw. Test. Verification Reliab. Donghwan Shin, Shin Yoo, Mike Papadakis, Doo-Hwan Bae
2019	A*	`conf`	Guiding deep learning system testing using surprise adequacy. ICSE Jinhan Kim, Robert Feldt, Shin Yoo
2019	C	`conf`	MOAD: Modeling Observation-Based Approximate Dependency. SCAM Seongmin Lee, David W. Binkley, Robert Feldt, Nicolas Gold, Shin Yoo
2019	J	`jnl`	Precise Learn-to-Rank Fault Localization Using Dynamic and Static Features of Target Programs. ACM Trans. Softw. Eng. Methodol. Yunho Kim, Seokhyeon Mun, Shin Yoo, Moonzoo Kim
2019	—	`conf`	PyGGI 2.0: language independent genetic improvement framework. ESEC/SIGSOFT FSE Gabin An, Aymeric Blot, Justyna Petke, Shin Yoo
2019	—	`conf`	SBST in the age of machine learning systems: challenges ahead. SBST@ICSE Shin Yoo
2019	J	`jnl`	Search Based Repair of Deep Neural Networks. CoRR Jeongju Sohn, Sungmin Kang, Shin Yoo
2019	J	`jnl`	Software review: DEAP (Distributed Evolutionary Algorithm in Python) library. Genet. Program. Evolvable Mach. Jinhan Kim, Shin Yoo
2019	A	`conf`	Why train-and-select when you can use them all?: ensemble model for fault localisation. GECCO Jeongju Sohn, Shin Yoo
2018	J	`jnl`	A Theoretical and Empirical Study of Diversity-Aware Mutation Adequacy Criterion. IEEE Trans. Software Eng. Donghwan Shin, Shin Yoo, Doo-Hwan Bae
2018	A*	`conf`	Are mutation scores correlated with real fault detection?: a large scale empirical study on the relationship between mutants and real faults. ICSE Mike Papadakis, Donghwan Shin, Shin Yoo, Doo-Hwan Bae
2018	—	`conf`	Comparing line and AST granularity level for program repair using PyGGI. GI@ICSE Gabin An, Jinhan Kim, Shin Yoo
2018	—	`conf`	Generating test input with deep reinforcement learning. SBST@ICSE Junhwi Kim, Minhyuk Kwon, Shin Yoo
2018	J	`jnl`	Guiding Deep Learning System Testing using Surprise Adequacy. CoRR Jinhan Kim, Robert Feldt, Shin Yoo
2018	B	`conf`	Learning Fault Localisation for both Humans and Machines Using Multi-objective GP. SSBSE Kabdo Choi, Jeongju Sohn, Shin Yoo
2018	B	`conf`	Learning Without Peeking: Secure Multi-party Computation Genetic Programming. SSBSE Jinhan Kim, Michael G. Epitropakis, Shin Yoo
2018	—	`conf`	MOBS: multi-operator observation-based slicing using lexical approximation of program dependence. ICSE (Companion Volume) Seongmin Lee, David W. Binkley, Nicolas Gold, Syed S. Islam, Jens Krinke, Shin Yoo
2017	—	`conf`	Embedding genetic improvement into programming languages. GECCO (Companion) Shin Yoo
2017	J	`jnl`	Empirical Evaluation of Mutation-based Test Prioritization Techniques. CoRR Donghwan Shin, Shin Yoo, Mike Papadakis, Doo-Hwan Bae
2017	A	`conf`	Empirical evaluation of conditional operators in GP based fault localization. GECCO Dahyun Kang, Jeongju Sohn, Shin Yoo
2017	B	`conf`	Evaluating CAVM: A New Search-Based Test Data Generation Tool for C. SSBSE Junhwi Kim, Byeonghyeon You, Minhyuk Kwon, Phil McMinn, Shin Yoo
2017	A	`conf`	FLUCCS: using code and change metrics to improve fault localization. ISSTA Jeongju Sohn, Shin Yoo
2017	B	`conf`	GPGPGPU: Evaluation of Parallelisation of Genetic Programming Using GPGPU. SSBSE Jinhan Kim, Junhwi Kim, Shin Yoo
2017	—	`conf`	Generalized observational slicing for tree-represented modelling languages. ESEC/SIGSOFT FSE Nicolas E. Gold, David W. Binkley, Mark Harman, Syed S. Islam, Jens Krinke, Shin Yoo
2017	J	`jnl`	Guest editorial for special section on research in search-based software engineering. Empir. Softw. Eng. Claire Le Goues, Shin Yoo
2017	J	`jnl`	Human Competitiveness of Genetic Programming in Spectrum-Based Fault Localisation: Theoretical and Empirical Analysis. ACM Trans. Softw. Eng. Methodol. Shin Yoo, Xiaoyuan Xie, Fei-Ching Kuo, Tsong Yueh Chen, Mark Harman
2017	B	`conf`	Hyperheuristic Observation Based Slicing of Guava. SSBSE Seongmin Lee, Shin Yoo
2017	—	`conf`	Inferring Automatic Test Oracles. SBST@ICSE William B. Langdon, Shin Yoo, Mark Harman
2017	J	`jnl`	Mining Fix Patterns for FindBugs Violations. CoRR Kui Liu, Dongsun Kim, Tegawendé F. Bissyandé, Shin Yoo, Yves Le Traon
2017	J	`jnl`	Observational slicing based on visual semantics. J. Syst. Softw. Shin Yoo, David W. Binkley, Roger D. Eastman
2017	J	`jnl`	Search-Based Approaches for Software Module Clustering Based on Multiple Relationship Factors. Int. J. Softw. Eng. Knowl. Eng. Jimin Hwa, Shin Yoo, Yeong-Seok Seo, Doo-Hwan Bae
2017	C	`conf`	Tree-Oriented vs. Line-Oriented Observation-Based Slicing. SCAM David W. Binkley, Nicolas Gold, Syed S. Islam, Jens Krinke, Shin Yoo
2016	B	`conf`	Amortised Deep Parameter Optimisation of GPGPU Work Group Size for OpenCV. SSBSE Jeongju Sohn, Seongmin Lee, Shin Yoo
2016	—	`conf`	Diversity-Aware Mutation Adequacy Criterion for Improving Fault Detection Capability. ICST Workshops Donghwan Shin, Shin Yoo, Doo-Hwan Bae
2016	B	`conf`	Field Report: Applying Monte Carlo Tree Search for Program Synthesis. SSBSE Jinsuk Lim, Shin Yoo
2016	A	`conf`	Test Set Diameter: Quantifying the Diversity of Sets of Test Cases. ICST Robert Feldt, Simon M. Poulding, David Clark, Shin Yoo
2015	B	`conf`	Amortised Optimisation of Non-functional Properties in Production Environments. SSBSE Shin Yoo
2015	A	`conf`	Empirical evaluation of pareto efficient multi-objective regression test case prioritisation. ISSTA Michael G. Epitropakis, Shin Yoo, Mark Harman, Edmund K. Burke
2015	—	`conf`	Information Transformation: An Underpinning Theory for Software Engineering. ICSE (2) David Clark, Robert Feldt, Simon M. Poulding, Shin Yoo
2015	C	`conf`	ORBS and the limits of static slicing. SCAM David W. Binkley, Nicolas E. Gold, Mark Harman, Syed S. Islam, Jens Krinke, Shin Yoo
2015	J	`jnl`	Practical Combinatorial Interaction Testing: Empirical Findings on Efficiency and Early Fault Detection. IEEE Trans. Software Eng. Justyna Petke, Myra B. Cohen, Mark Harman, Shin Yoo
2015	J	`jnl`	Test Set Diameter: Quantifying the Diversity of Sets of Test Cases. CoRR Robert Feldt, Simon M. Poulding, David Clark, Shin Yoo
2015	J	`jnl`	The Oracle Problem in Software Testing: A Survey. IEEE Trans. Software Eng. Earl T. Barr, Mark Harman, Phil McMinn, Muzammil Shahbaz, Shin Yoo
2015	—	`conf`	The Programming Game: Evaluating MCTS as an Alternative to GP for Symbolic Regression. GECCO (Companion) David Robert White, Shin Yoo, Jeremy Singer
2014	A	`conf`	Ask the Mutants: Mutating Faulty Programs for Fault Localization. ICST Seokhyeon Moon, Yunho Kim, Moonzoo Kim, Shin Yoo
2014	J	`jnl`	Exact scalable sensitivity analysis for the next release problem. ACM Trans. Softw. Eng. Methodol. Mark Harman, Jens Krinke, Inmaculada Medina-Bulo, Francisco Palomo-Lozano, Jian Ren, Shin Yoo
2014	A	`conf`	Genetic improvement for adaptive software engineering (keynote). SEAMS Mark Harman, Yue Jia, William B. Langdon, Justyna Petke, Iman Hemati Moghadam, Shin Yoo, Fan Wu
2014	J	`jnl`	Guest editorial: special section on regression testing. Softw. Qual. J. Shin Yoo, Per Runeson
2014	—	`conf`	ORBS: language-independent program slicing. SIGSOFT FSE David W. Binkley, Nicolas Gold, Mark Harman, Syed S. Islam, Jens Krinke, Shin Yoo
2014	B	`ed.`	Search-Based Software Engineering - 6th International Symposium, SSBSE 2014, Fortaleza, Brazil, August 26-29, 2014. Proceedings SSBSE Claire Le Goues, Shin Yoo
2014	C	`conf`	Seeing Is Slicing: Observation Based Slicing of Picture Description Languages. SCAM Shin Yoo, David W. Binkley, Roger D. Eastman
2013	J	`jnl`	Cloud engineering is Search Based Software Engineering too. J. Syst. Softw. Mark Harman, Kiran Lakhotia, Jeremy Singer, David Robert White, Shin Yoo
2013	—	`conf`	Efficiency and early fault detection with lower and higher strength combinatorial interaction testing. ESEC/SIGSOFT FSE Justyna Petke, Shin Yoo, Myra B. Cohen, Mark Harman
2013	J	`jnl`	Fault localization prioritization: Comparing information-theoretic and coverage-based approaches. ACM Trans. Softw. Eng. Methodol. Shin Yoo, Mark Harman, David Clark
2013	J	`jnl`	GPGPU test suite minimisation: search based software engineering performance improvement using graphics cards. Empir. Softw. Eng. Shin Yoo, Mark Harman, Shmuel Ur
2013	B	`conf`	Provably Optimal and Human-Competitive Results in SBSE for Spectrum Based Fault Localisation. SSBSE Xiaoyuan Xie, Fei-Ching Kuo, Tsong Yueh Chen, Shin Yoo, Mark Harman
2012	B	`conf`	Evolving Human Competitive Spectra-Based Fault Localisation Techniques. SSBSE Shin Yoo
2012	J	`jnl`	Regression testing minimization, selection and prioritization: a survey. Softw. Test. Verification Reliab. Shin Yoo, Mark Harman
2012	J	`jnl`	Test data regeneration: generating new test data from existing test data. Softw. Test. Verification Reliab. Shin Yoo, Mark Harman
2011	—	`conf`	Formal Concept Analysis on Graphics Hardware. CLA William B. Langdon, Shin Yoo, Mark Harman
2011	B	`conf`	Highly Scalable Multi Objective Test Suite Minimisation Using Graphics Cards. SSBSE Shin Yoo, Mark Harman, Shmuel Ur
2011	A	`conf`	Transition coverage testing for simulink/stateflow models using messy genetic algorithms. GECCO Jungsup Oh, Mark Harman, Shin Yoo
2010	—	`conf`	Introducing Continuous Systematic Testing of Evolving Software. Practical Software Testing: Tool Automation and Human Factors Mary Jean Harrold, Darko Marinov, Stephen Oney, Mauro Pezzè, Adam A. Porter, John Penix, Per Runeson, Shin Yoo
2010	—	`conf`	Metamorphic Testing of Stochastic Optimisation. ICST Workshops Shin Yoo
2010	—	`conf`	Optimizing for the Number of Tests Generated in Search Based Test Data Generation with an Application to the Oracle Cost Problem. ICST Workshops Mark Harman, Sung Gon Kim, Kiran Lakhotia, Phil McMinn, Shin Yoo
2010	—	`conf`	Search Based Software Engineering: Techniques, Taxonomy, Tutorial. LASER Summer School Mark Harman, Phil McMinn, Jerffeson Teixeira de Souza, Shin Yoo
2010	J	`jnl`	Using hybrid algorithm for Pareto efficient multi-objective test suite minimisation. J. Syst. Softw. Shin Yoo, Mark Harman
2009	A	`conf`	Clustering test cases to achieve effective and scalable prioritisation incorporating expert knowledge. ISSTA Shin Yoo, Mark Harman, Paolo Tonella, Angelo Susi
2009	—	`conf`	Measuring and Improving Latency to Avoid Test Suite Wear Out. ICST Workshops Shin Yoo, Mark Harman, Shmuel Ur
2009	A	`conf`	Search based data sensitivity analysis applied to requirement engineering. GECCO Mark Harman, Jens Krinke, Jian Ren, Shin Yoo
2007	A	`conf`	Pareto efficient multi-objective test case selection. ISSTA Shin Yoo, Mark Harman