Computational Intelligence for Software Engineering Lab

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

Recent Updates

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...]

COINSE is looking for MSc Students for Spring 2020

We are recruiting highly motivated MSc students out of those who got admitted into MSc programme starting from Spring 2020. [more...]

Paper accepted at JSS

A COINSE paper has been accepted at Journal of Systems and Software. [more...]

Latest Publications

  1. Feldt, R. and Yoo, S., Flexible Probabilistic Modeling for Search Based Test Data Generation. Proceedings of the International Workshop on Search Based Software Testing (SBST 2020). [bibtex]
      @inproceedings{Feldt2020aa,
      author = {Feldt, Robert and Yoo, Shin},
      booktitle = {Proceedings of the International Workshop on Search Based Software Testing (SBST 2020)},
      date-added = {2020-02-29 16:42:47 +0900},
      date-modified = {2020-02-29 16:43:23 +0900},
      title = {Flexible Probabilistic Modeling for Search Based Test Data Generation},
      year = {2020}
    }
    
    
  2. Kang, S., Feldt, R. and Yoo, S., SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation. Proceedings of the International Workshop on Search Based Software Testing (SBST 2020). [bibtex]
      @inproceedings{Kang2020aa,
      author = {Kang, Sungmin and Feldt, Robert and Yoo, Shin},
      booktitle = {Proceedings of the International Workshop on Search Based Software Testing (SBST 2020)},
      date-added = {2020-02-29 16:41:30 +0900},
      date-modified = {2020-02-29 16:42:22 +0900},
      title = {SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation},
      year = {2020}
    }
    
    
  3. Kim, S. and Yoo, S., Evaluating Surprise Adequacy for Question Answering. Proceedings of The 2nd International Workshop on Testing for Deep Learning and Deep Learning for Testing (DeepTest 2020). [bibtex]
      @inproceedings{Kim2020aa,
      author = {Kim, Seah and Yoo, Shin},
      booktitle = {Proceedings of The 2nd International Workshop on Testing for Deep Learning and Deep Learning for Testing (DeepTest 2020)},
      date-added = {2020-02-29 16:32:19 +0900},
      date-modified = {2020-02-29 16:40:42 +0900},
      title = {Evaluating Surprise Adequacy for Question Answering},
      year = {2020}
    }
    
    
  4. Lee, S., Binkley, D., Gold, N., Islam, S., Krinke, J. and Yoo, S., Evaluating lexical approximation of program dependence. Journal of Systems and Software. 160, 110459. [pdf] [bibtex]
      @article{Lee2019aa,
      author = {Lee, Seongmin and Binkley, David and Gold, Nicolas and Islam, Syed and Krinke, Jens and Yoo, Shin},
      doi = {https://doi.org/10.1016/j.jss.2019.110459},
      issn = {0164-1212},
      journal = {Journal of Systems and Software},
      keywords = {ORBS, Program slicing, Lexical analysis},
      pages = {110459},
      title = {Evaluating lexical approximation of program dependence},
      url = {http://www.sciencedirect.com/science/article/pii/S016412121930233X},
      volume = {160},
      year = {2020},
      bdsk-url-1 = {http://www.sciencedirect.com/science/article/pii/S016412121930233X},
      bdsk-url-2 = {https://doi.org/10.1016/j.jss.2019.110459}
    }
    
    
  5. Kim, Y., Mun, S., Yoo, S. and Kim, M., Precise Learn-to-Rank Fault Localization Using Dynamic and Static Features of Target Programs. ACM Trans. Softw. Eng. Methodol. 28, 4, 23:1–23:34. [pdf] [bibtex]
      @article{Kim2019ab,
      acmid = {3345628},
      address = {New York, NY, USA},
      articleno = {23},
      author = {Kim, Yunho and Mun, Seokhyeon and Yoo, Shin and Kim, Moonzoo},
      doi = {10.1145/3345628},
      issn = {1049-331X},
      issue_date = {October 2019},
      journal = {ACM Trans. Softw. Eng. Methodol.},
      keywords = {Fault localization, machine learning, mutation analysis, source file characteristics},
      month = oct,
      number = {4},
      numpages = {34},
      pages = {23:1--23:34},
      publisher = {ACM},
      title = {Precise Learn-to-Rank Fault Localization Using Dynamic and Static Features of Target Programs},
      url = {http://doi.acm.org/10.1145/3345628},
      volume = {28},
      year = {2019},
      bdsk-url-1 = {http://doi.acm.org/10.1145/3345628},
      bdsk-url-2 = {https://doi.org/10.1145/3345628}
    }
    
    
  6. Lee, S., Hong, S., Yi, J., Kim, T., Kim, C. and Yoo, S., Classifying False Positive Static Checker Alarms in Continuous Integration Using Convolutional Neural Networks. 2019 12th IEEE Conference on Software Testing, Validation and Verification (ICST) 391–401. [pdf] [bibtex]
      @inproceedings{Lee2019to,
      author = {{Lee}, S. and {Hong}, S. and {Yi}, J. and {Kim}, T. and {Kim}, C. and {Yoo}, S.},
      booktitle = {2019 12th IEEE Conference on Software Testing, Validation and Verification (ICST)},
      doi = {10.1109/ICST.2019.00048},
      issn = {2159-4848},
      month = apr,
      pages = {391-401},
      title = {Classifying False Positive Static Checker Alarms in Continuous Integration Using Convolutional Neural Networks},
      year = {2019},
      bdsk-url-1 = {https://doi.org/10.1109/ICST.2019.00048}
    }
    
    
  7. Danglot, B. and An, G., Genetic Improvement Events in 2018. SIGEVOlution. 11, 4, 9–13. [pdf] [bibtex]
      @article{Danglot2019,
      acmid = {3302544},
      address = {New York, NY, USA},
      author = {Danglot, Benjamin and An, Gabin},
      doi = {10.1145/3302542.3302544},
      issn = {1931-8499},
      issue_date = {December 2018},
      journal = {SIGEVOlution},
      month = jan,
      number = {4},
      numpages = {5},
      pages = {9--13},
      publisher = {ACM},
      title = {Genetic Improvement Events in 2018},
      url = {http://doi.acm.org/10.1145/3302542.3302544},
      volume = {11},
      year = {2019},
      bdsk-url-1 = {http://doi.acm.org/10.1145/3302542.3302544},
      bdsk-url-2 = {https://doi.org/10.1145/3302542.3302544}
    }