World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
9323
World Ranking
10505
National Ranking
118

Overview

Shin Yoo is affiliated with the Korea Advanced Institute of Science and Technology in South Korea and has an extensive research portfolio in computer science, focusing primarily on software and related subfields. Their scholarly contributions cover a range of topics in software engineering and artificial intelligence, supported by numerous publications in both journals and conference proceedings.

The scientist's recent papers include notable works such as:

  • "Pandemic programming" (2020) published in Empirical Software Engineering
  • "Arachne: Search-Based Repair of Deep Neural Networks" (2022) published in ACM Transactions on Software Engineering and Methodology
  • "A Quantitative and Qualitative Evaluation of LLM-Based Explainable Fault Localization" (2024) published in Proceedings of the ACM on Software Engineering
  • "Pandemic Programming: How COVID-19 affects software developers and how their organizations can help" (2020) published in PubMed
  • "Large Language Models for Software Engineering: Survey and Open Problems" (2023) published on arXiv (Cornell University)

Shin Yoo frequently collaborates with other researchers in the field. Prominent co-authors include Gabin An, Robert Feldt, Jin-Han Kim, Sungmin Kang, and Juyeon Yoon. Such collaborations have supported a broad array of research outputs in software engineering and related domains.

The scientist's publications are often found in venues such as:

  • arXiv (Cornell University)
  • ACM Transactions on Software Engineering and Methodology
  • Empirical Software Engineering
  • ACM SIGSOFT Software Engineering Notes
  • Proceedings of the ACM on Software Engineering

Their expertise spans several primary fields of study, largely centered on computer science with detailed work in:

  • Software
  • Information Systems
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition

Within these domains, their research topics frequently address:

  • Software Testing and Debugging Techniques
  • Software Engineering Research
  • Software Reliability and Analysis Research
  • Software System Performance and Reliability
  • Adversarial Robustness in Machine Learning
  • Topic Modeling
  • Advanced Neural Network Applications

Best Publications

  • Regression testing minimization, selection and prioritization: a survey

    S. Yoo;M. Harman

  • The Oracle Problem in Software Testing: A Survey

    Earl T. Barr;Mark Harman;Phil McMinn;Muzammil Shahbaz

  • Search based software engineering: techniques, taxonomy, tutorial

    Mark Harman;Phil McMinn;Jerffeson Teixeira de Souza;Shin Yoo

  • Pareto efficient multi-objective test case selection

    Shin Yoo;Mark Harman

  • Guiding deep learning system testing using surprise adequacy

    Jinhan Kim;Robert Feldt;Shin Yoo

  • Ask the Mutants: Mutating Faulty Programs for Fault Localization

    Seokhyeon Moon;Yunho Kim;Moonzoo Kim;Shin Yoo

  • Pandemic programming: How COVID-19 affects software developers and how their organizations can help.

    Paul Ralph;Sebastian Baltes;Gianisa Adisaputri;Richard Torkar;Richard Torkar

  • Clustering test cases to achieve effective and scalable prioritisation incorporating expert knowledge

    Shin Yoo;Mark Harman;Paolo Tonella;Angelo Susi

  • FLUCCS: using code and change metrics to improve fault localization

    Jeongju Sohn;Shin Yoo

  • Regression Testing Minimisation, Selection and Prioritisation - A Survey

    S Yoo;M Harman

  • Using hybrid algorithm for Pareto efficient multi-objective test suite minimisation

    Shin Yoo;Mark Harman

  • Evolving human competitive spectra-based fault localisation techniques

    Shin Yoo

  • Test Set Diameter: Quantifying the Diversity of Sets of Test Cases

    Robert Feldt;Simon Poulding;David Clark;Shin Yoo

  • Mining Fix Patterns for FindBugs Violations

    Kui Liu;Dongsun Kim;Tegawende F. Bissyande;Shin Yoo

  • Efficiency and early fault detection with lower and higher strength combinatorial interaction testing

    Justyna Petke;Shin Yoo;Myra B. Cohen;Mark Harman

  • Fault localization prioritization: Comparing information-theoretic and coverage-based approaches

    Shin Yoo;Mark Harman;David Clark

  • Practical Combinatorial Interaction Testing: Empirical Findings on Efficiency and Early Fault Detection

    Justyna Petke;Myra B. Cohen;Mark Harman;Shin Yoo

  • Optimizing for the Number of Tests Generated in Search Based Test Data Generation with an Application to the Oracle Cost Problem

    Mark Harman;Sung Gon Kim;Kiran Lakhotia;Phil McMinn

  • Are mutation scores correlated with real fault detection?: a large scale empirical study on the relationship between mutants and real faults

    Mike Papadakis;Donghwan Shin;Shin Yoo;Doo-Hwan Bae

  • Provably Optimal and Human-Competitive Results in SBSE for Spectrum Based Fault Localisation

    Xiaoyuan Xie;Fei-Ching Kuo;Tsong Yueh Chen;Shin Yoo

  • Empirical evaluation of pareto efficient multi-objective regression test case prioritisation

    Michael G. Epitropakis;Shin Yoo;Mark Harman;Edmund K. Burke

Frequent Co-Authors

Mark Harman
Mark Harman University College London
Robert Feldt
Robert Feldt Chalmers University of Technology
Jens Krinke
Jens Krinke University College London
David Binkley
David Binkley Loyola University Maryland
Phil McMinn
Phil McMinn University of Sheffield
William B. Langdon
William B. Langdon University College London
David M. Clark
David M. Clark University of Oxford
Tsong Yueh Chen
Tsong Yueh Chen Swinburne University of Technology
Myra B. Cohen
Myra B. Cohen Iowa State University
Burak Turhan
Burak Turhan Monash University

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