Heechan Yang

Heechan Yang is currently working as a research associate at the Software Testing and Verification Group (SWTV Lab) in the School of Computing at Korea Advanced Institute of Science and Technology (KAIST). His main interests are:

Automated Software Testing
Fault Localization

Further details:

🔗: CV
✉️: heechan.yang96@gmail.com

news

Dec 08, 2025	Successfully Defended MS Thesis at KAIST

selected publications

Industrial Application of Deep Learning based Fault Localization with Mutation Features

Heechan Yang, A. Lee, K. Cho , and Y. Kim

In IEEE International Conference on Software Testing, Verification and Validation (ICST) Industry Track, May 2026

Bib PDF Slides

@inproceedings{icst26,
  title = {Industrial Application of Deep Learning based Fault Localization with Mutation Features},
  author = {Yang, Heechan and Lee, A. and Cho, K. and Kim, Y.},
  booktitle = {IEEE International Conference on Software Testing, Verification and Validation (ICST) Industry Track},
  year = {2026},
  month = may,
}

Systematic Dataset Construction for Deep Learning-Based Fault Localization(DLFL) with Mutation-Based Fault Localization(MBFL) Features

Heechan Yang

Korean Advanced Institute of Science and Technology (KAIST), Feb 2026

Bib PDF Slides

@thesis{ms2026,
  title = {Systematic Dataset Construction for Deep Learning-Based Fault Localization(DLFL) with Mutation-Based Fault Localization(MBFL) Features},
  author = {Yang, Heechan},
  school = {Korean Advanced Institute of Science and Technology (KAIST)},
  year = {2026},
  month = feb,
}

Systematic Study of Mutation-Based Dataset Construction for Deep Learning-Based Fault Localization on Military Defense SW

Heechan Yang, A. Lee, K. Cho, and M. Kim

Korean Conference on Software Engineering (KCSE), Feb 2026

Bib PDF Slides

@article{kcse26,
  title = {Systematic Study of Mutation-Based Dataset Construction for Deep Learning-Based Fault Localization on Military Defense SW},
  author = {Yang, Heechan and Lee, A. and Cho, K. and Kim, M.},
  journal = {Korean Conference on Software Engineering (KCSE)},
  year = {2026},
  month = feb,
  volumn = {28},
  number = {1},
  pages = {145--148},
}

How to Create Dataset to Train a ML Model for Fault Localization: A Case Study on JsonCpp

Heechan Yang, A. Lee , I. Lee, H. Nam, N. Jung, K. Cho, and M. Kim

Korean Computer Congress (KCC), Jun 2024

Bib PDF

@article{kcc24,
  title = {How to Create Dataset to Train a ML Model for Fault Localization: A Case Study on JsonCpp},
  author = {Yang, Heechan and Lee, A. and Lee, I. and Nam, H. and Jung, N. and Cho, K. and Kim, M.},
  journal = {Korean Computer Congress (KCC)},
  year = {2024},
  month = jun,
  pages = {331--333},
}