Jinhan Kim Software testing · AI assurance

Research output

Publications

For an up-to-date list of publications and citation counts, visit my Google Scholar profile. Unless otherwise specified, publications appeared in the main research track.

Journals

  1. JSS · 2026

    Cross-Site Scripting Adversarial Attacks Based on Deep Reinforcement Learning: Evaluation and Extension Study

    S. Pasini, G. Maragliano, J. Kim and P. Tonella

    Journal of Systems and Software

    PDF
  2. TOSEM · 2025

    A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles

    M. J. Tehrani, J. Kim, R. Z. Foulefack, A. Marchetto and P. Tonella

    ACM Transactions on Software Engineering and Methodology

    Presented at the journal-first track of ICSE 2026

    PDF
  3. EMSE · 2025

    Evaluating and Improving the Robustness of Security Attack Detectors Generated by LLMs

    S. Pasini, J. Kim, T. Aiello, R. Lozoya, A. Sabetta and P. Tonella

    Empirical Software Engineering

    Presented at the journal-first track of ICSE 2026

    PDF
  4. EMSE · 2025

    An Empirical Study of Fault Localisation Techniques for Deep Neural Networks

    N. Humbatova, J. Kim, G. Jahangirova, S. Yoo and P. Tonella

    Empirical Software Engineering

    Presented at the journal-first track of ICST 2026

    PDF
  5. IST · 2023

    Learning Test-Mutant Relationship for Accurate Fault Localisation

    J. Kim, G. An, R. Feldt and S. Yoo

    Information and Software Technology

    PDF
  6. TOSEM · 2023

    Evaluating Surprise Adequacy for Deep Learning System Testing

    J. Kim, R. Feldt and S. Yoo

    ACM Transactions on Software Engineering and Methodology

    PDF
  7. TOSEM · 2022

    Predictive Mutation Analysis via Natural Language Channel in Source Code

    J. Kim, J. Jeon, S. Hong and S. Yoo

    ACM Transactions on Software Engineering and Methodology

    Presented at the journal-first track of ICSE 2023

    PDF

Conferences & workshops

  1. ASE · 2026

    When Knowledge Changes: Metamorphic Testing of RAG Systems with Mutations

    J. Kim, S. Pasini and P. Tonella

    Proceedings of the 41st IEEE/ACM International Conference on Automated Software Engineering

    PDF
  2. ISSTA · 2026

    Testing Retrieval-Augmented Generation Systems with Chunk Coverage

    J. Kim, S. Pasini and P. Tonella

    Proceedings of the 35th ACM International Symposium on Software Testing and Analysis

    PDF
  3. ICSE · 2026

    Revisiting "Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and Distribution-Aware Criterion": A Critical Review and Implications on DNN Coverage Testing

    J. Kim, N. Humbatova, G. Jahangirova, S. Yoo and P. Tonella

    Proceedings of the 48th IEEE/ACM International Conference on Software Engineering

    PDF
  4. FSE Demo · 2025

    PCLA: A Framework for Testing Autonomous Agents in the CARLA Simulator

    M. Tehrani, J. Kim and P. Tonella

    Proceedings of ACM on the Foundations of Software Engineering

    PDF
  5. Mutation · 2023

    The Inversive Relationship Between Bugs and Patches: An Empirical Study

    J. Kim, J. Park and S. Yoo

    Proceedings of the 18th International Workshop on Mutation Analysis

    Best Paper Award

    PDF
  6. ICST · 2023

    Repairing DNN Architecture: Are We There Yet?

    J. Kim, N. Humbatova, G. Jahangirova, P. Tonella and S. Yoo

    Proceedings of the 16th IEEE International Conference on Software Testing, Verification and Validation

    PDF
  7. ICST Industry · 2022

    Repairing Fragile GUI Test Cases Using Word and Layout Embedding

    J. Yoon, S. Chung, K. Shin, J. Kim, S. Hong and S. Yoo

    Proceedings of the 15th IEEE International Conference on Software Testing, Verification and Validation

    PDF
  8. ISSRE · 2021

    Ahead of Time Mutation Based Fault Localisation Using Statistical Inference

    J. Kim, G. An, R. Feldt and S. Yoo

    Proceedings of the 32nd International Symposium on Software Reliability Engineering

    Invited for a special issue of IST Journal

    PDF
  9. FSE Industry · 2020

    Reducing DNN Labelling Cost Using Surprise Adequacy: An Industrial Case Study for Autonomous Driving

    J. Kim, J. Ju, R. Feldt and S. Yoo

    Proceedings of ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

    PDF
  10. ICSE · 2019

    Guiding Deep Learning System Testing Using Surprise Adequacy

    J. Kim, R. Feldt and S. Yoo

    Proceedings of the 41st IEEE/ACM International Conference on Software Engineering

    PDF
  11. SSBSE · 2018

    Learning Without Peeking: Secure Multi-Party Computation Genetic Programming

    J. Kim, M. G. Epitropakis and S. Yoo

    Proceedings of the 10th International Symposium on Search Based Software Engineering

    PDF
  12. L@S · 2018

    Elicast: Embedding Interactive Exercises in Instructional Programming Screencasts

    J. Park, Y. H. Park, J. Kim, J. Cha, S. Kim and A. Oh

    Proceedings of the Fifth Annual ACM Conference on Learning at Scale

    PDF
  13. GI · 2018

    Comparing Line and AST Granularity Level for Program Repair Using PyGGI

    G. An, J. Kim and S. Yoo

    Proceedings of the 4th Genetic Improvement Workshop

    PDF

  14. KCSE · 2017

    PyGGI: Python General framework for Genetic Improvement

    G. An, J. Kim, S. Lee and S. Yoo

    Proceedings of Korea Software Congress

  15. SSBSE Short Papers · 2017

    GPGPGPU: Evaluation of Parallelisation of Genetic Programming Using GPGPU

    J. Kim, J. Kim and S. Yoo

    Proceedings of the 9th International Symposium on Search Based Software Engineering

    PDF
  16. CHI · 2016

    BeUpright: Posture Correction Using Relational Norm Intervention

    J. Shin, B. Kang, T. Park, J. Huh, J. Kim and J. Song

    Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

    PDF

Thesis

  1. Ph.D. · 2023

    Exploiting Mutant’s Relationship with Code, Faults, and Patches for Higher Efficacy of Mutation Analysis

    J. Kim

    KAIST, February 2023

    PDF