Computational Intelligence for Software Engineering Lab

Our research focuses on the exciting intersection between software engineering and machine intelligence.

Recent Updates

A new paper about Bug Inducing Commit accepted at ESEC/FSE IVR 2021

A COINSE paper about reducing the search space of Bug Inducing Commit (BIC) has been accepted at the Ideas, Visions and Reflections (IVR) track of ESEC/FSE 2021. [more...]

Congratulations, Dr. Jeongju Sohn!

Jeongju Sohn successfully defended her PhD thesis, and became the first PhD from COINSE group. [more...]

New Preprint about Hyundai Motors Collaboration

A new arXiv preprint about the collaboration between COINSE, Chalmers, and Hyundai Motors Company is available. [more...]

Three new ICSE 2020 workshop papers from COINSE

Three new papers have been accepted into collocated workshops at ICSE 2020. [more...]

Doctoral Symposium Presentations from COINSE members at ICSE 2020

Two PhD candidates from COINSE will be presenting their research at the doctoral symposium at ICSE 2020. [more...]

NAVER PhD Fellowship Awards 2019

Jeongju Sohn and Jinhan Kim, both PhD candidates at COINSE, were awarded NAVER PhD Fellowship Award. [more...]

Latest Publications

  1. An, G. and Yoo, S., Reducing the search space of bug inducing commits using failure coverage. Proceedings of the ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. [pdf] [bibtex]
      @inproceedings{An2021qb,
      author = {An, Gabin and Yoo, Shin},
      booktitle = {Proceedings of the ACM Joint  European Software Engineering Conference and Symposium on the Foundations of Software Engineering},
      date-added = {2021-07-14 10:41:10 +0900},
      date-modified = {2021-07-14 10:41:10 +0900},
      series = {ESEC/FSE (Ideas, Visions, and Reflections Track)},
      title = {Reducing the search space of bug inducing commits using failure coverage},
      year = {2021}
    }
    
    
  2. Lee, J., Jung, C., Park, Y.H., Lee, D., Yoon, J. and Yoo, S., Preliminary Evaluation of SWAY in Permutation Decision Space via a Novel Euclidean Embedding. Proceedings of the 13th International Symposium on Search Based Software Engineering. [pdf] [bibtex]
      @inproceedings{Lee2021oo,
      author = {Lee, Junghyun and Jung, Chani and Park, Yoo Hwa and Lee, Dongmin and Yoon, Juyeon and Yoo, Shin},
      booktitle = {Proceedings of the 13th International Symposium on Search Based Software Engineering},
      date-added = {2021-07-15 13:42:49 +0900},
      date-modified = {2021-07-15 13:43:05 +0900},
      series = {SSBSE 2021},
      title = {Preliminary Evaluation of {SWAY} in Permutation Decision Space via a Novel Euclidean Embedding},
      year = {2021}
    }
    
    
  3. Lee, S., Binkley, D., Feldt, R., Gold, N. and Yoo, S., Observation-based approximate dependency modeling and its use for program slicing. Journal of Systems and Software. 110988. [pdf] [bibtex]
      @article{Lee2021ua,
      author = {Lee, Seongmin and Binkley, David and Feldt, Robert and Gold, Nicolas and Yoo, Shin},
      journal = {Journal of Systems and Software},
      pages = {110988},
      title = {Observation-based approximate dependency modeling and its use for program slicing},
      year = {2021}
    }
    
    
  4. Oh, S., Lee, S. and Yoo, S., Efficiently Sampling Higher Order Mutants Using Causal Effect. Proceedings of the 16th International Workshop on Mutation Analysis. [pdf] [bibtex]
      @inproceedings{Oh2021vt,
      author = {Oh, Saeyoon and Lee, Seongmin and Yoo, Shin},
      booktitle = {Proceedings of the 16th International Workshop on Mutation Analysis},
      series = {Mutation 2021},
      title = {Efficiently Sampling Higher Order Mutants Using Causal Effect},
      year = {2021}
    }
    
    
  5. Han, S., Kim, J., Kim, G., Cho, J., Kim, J. and Yoo, S., Preliminary Evaluation of Path-aware Crossover Operators for Search-Based Test Data Generation for Autonomous Driving. Proceedings of the 14th International Workshop on Search Based Software Testing. [pdf] [bibtex]
      @inproceedings{Han2021vp,
      author = {Han, Seunghee and Kim, Jaeuk and Kim, Geon and Cho, Jaemin and Kim, Jiin and Yoo, Shin},
      booktitle = {Proceedings of the 14th International Workshop on Search Based Software Testing},
      series = {SBST 2021},
      title = {Preliminary Evaluation of Path-aware Crossover Operators for Search-Based Test Data Generation for Autonomous Driving},
      year = {2021}
    }
    
    
  6. Kim, S. and Yoo, S., Multimodal Surprise Adequacy Analysis of Inputs for Natural Language Processing DNN Models. Proceedings of the 2nd ACM/IEEE International Conference on Automated Software Testing. [pdf] [bibtex]
      @inproceedings{Kim2021ct,
      author = {Kim, Seah and Yoo, Shin},
      booktitle = {Proceedings of the 2nd ACM/IEEE International Conference on Automated Software Testing},
      date-added = {2021-04-08 12:06:13 +0900},
      date-modified = {2021-04-08 12:08:02 +0900},
      series = {AST 2021},
      title = {Multimodal Surprise Adequacy Analysis of Inputs for Natural Language Processing DNN Models},
      year = {2021}
    }
    
    
  7. Sohn, J., An, G., Hong, J., Hwang, D. and Yoo, S., Assisting Bug Report Assignment Using Automated Fault Localisation: An Industrial Case Study. Proceedings of the 14th IEEE International Conference on Software Testing, Verification and Validation. [pdf] [bibtex]
      @inproceedings{Sohn2021ea,
      author = {Sohn, Jeongju and An, Gabin and Hong, Jingun and Hwang, Dongwon and Yoo, Shin},
      booktitle = {Proceedings of the 14th IEEE International Conference on Software Testing, Verification and Validation},
      date-added = {2021-02-01 14:00:57 +0900},
      date-modified = {2021-02-01 14:02:46 +0900},
      title = {Assisting Bug Report Assignment Using Automated Fault Localisation: An Industrial Case Study},
      year = {2021}
    }