COINSE Laboratory

Computational Intelligence for Software Engineering Laboratory

We optimise and improve software through the use of machine intelligence.

Latest Publications

  1. Yoo, S. (2017). Embedding Genetic Improvement into Programming Languages. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 1551–1552). New York, NY, USA: ACM. [pdf] [bibtex]
      @inproceedings{Yoo2017aa,
      acmid = {3082516},
      address = {New York, NY, USA},
      author = {Yoo, Shin},
      booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference Companion},
      date-added = {2017-11-23 07:46:50 +0000},
      date-modified = {2017-11-23 07:47:24 +0000},
      isbn = {978-1-4503-4939-0},
      location = {Berlin, Germany},
      numpages = {2},
      pages = {1551--1552},
      publisher = {ACM},
      series = {GECCO '17},
      title = {Embedding {G}enetic {I}mprovement into Programming Languages},
      year = {2017},
      bdsk-url-1 = {http://doi.acm.org/10.1145/3067695.3082516},
      bdsk-url-2 = {http://dx.doi.org/10.1145/3067695.3082516}
    }
    
    
  2. Kang, D., Sohn, J., & Yoo, S. (2017). Empirical Evaluation of Conditional Operators in GP Based Fault Localization. In Genetic and Evolutionary Computation (pp. 1295–1302). [bibtex]
      @inproceedings{Kang2017am,
      author = {Kang, Dahyun and Sohn, Jeongju and Yoo, Shin},
      booktitle = {Genetic and Evolutionary Computation},
      date-added = {2017-11-23 07:29:45 +0000},
      date-modified = {2017-11-23 07:29:51 +0000},
      pages = {1295-1302},
      series = {GECCO 2017},
      title = {Empirical Evaluation of Conditional Operators in {GP} Based Fault Localization},
      year = {2017},
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    }
    
    
  3. Shin, D., Yoo, S., & Bae, D. H. (2017). A Theoretical and Empirical Study of Diversity-aware Mutation Adequacy Criterion. IEEE Transactions on Software Engineering, PP(99), 1–1. [pdf] [bibtex]
      @article{Shin2017rw,
      author = {Shin, D. and Yoo, S. and Bae, D. H.},
      date-added = {2017-09-09 12:15:32 +0000},
      date-modified = {2017-11-23 07:43:06 +0000},
      issn = {0098-5589},
      journal = {IEEE Transactions on Software Engineering},
      keywords = {Correlation;Fault detection;Indexes;Software engineering;Software testing;Subspace constraints;Mutation testing;diversity;test adequacy criteria},
      number = {99},
      pages = {1-1},
      title = {A Theoretical and Empirical Study of Diversity-aware Mutation Adequacy Criterion},
      volume = {PP},
      year = {2017},
      bdsk-url-1 = {http://dx.doi.org/10.1109/TSE.2017.2732347}
    }
    
    
  4. Binkley, D., Gold, N., Harman, M., Islam, S., Krinke, J., & Yoo, S. (2017). Tree-Oriented vs. Line-Oriented Observation-Based Slicing. In Proceedings of the 17th International Working Conference on Source Code Analysis and Manipulation, to appear. [pdf] [bibtex]
      @inproceedings{Binkley2017ec,
      author = {Binkley, Dave and Gold, Nicolas and Harman, Mark and Islam, Syed and Krinke, Jens and Yoo, Shin},
      booktitle = {Proceedings of the 17th International Working Conference on Source Code Analysis and Manipulation, to appear},
      date-added = {2017-07-21 23:23:06 +0000},
      date-modified = {2017-11-23 07:45:34 +0000},
      series = {SCAM 2017},
      title = {Tree-Oriented vs. Line-Oriented Observation-Based Slicing},
      year = {2017}
    }
    
    
  5. Kim, J., Kim, J., & Yoo, S. (2017). GPGPGPU: Evaluation of Parallelisation of Genetic Programming using GPGPU. In Proceedings of the International Symposium on Search Based Software Engineering (pp. 137–142). [pdf] [bibtex]
      @inproceedings{Kim2017ew,
      author = {Kim, Jinhan and Kim, Junhwi and Yoo, Shin},
      booktitle = {Proceedings of the International Symposium on Search Based Software Engineering},
      date-modified = {2017-09-09 10:20:53 +0000},
      pages = {137--142},
      series = {SSBSE 2017},
      title = {GPGPGPU: Evaluation of Parallelisation of Genetic Programming using GPGPU},
      year = {2017}
    }
    
    
  6. Lee, S., & Yoo, S. (2017). Hyperheuristic Observation Based Slicing of Guava. In Proceedings of the International Symposium on Search Based Software Engineering (pp. 175–180). [pdf] [bibtex]
      @inproceedings{Lee2017xu,
      author = {Lee, Seongmin and Yoo, Shin},
      booktitle = {Proceedings of the International Symposium on Search Based Software Engineering},
      date-modified = {2017-09-09 10:23:27 +0000},
      pages = {175--180},
      series = {SSBSE 2017},
      title = {Hyperheuristic Observation Based Slicing of Guava},
      year = {2017}
    }
    
    
  7. Sohn, J., & Yoo, S. (2017). FLUCCS: Using Code and Change Metrics to Improve Fault Localisation. In Proceedings of International Symposium on Software Testing and Analysis (pp. 273–283). [pdf] [bibtex]
      @inproceedings{Sohn2017xq,
      author = {Sohn, Jeongju and Yoo, Shin},
      booktitle = {Proceedings of International Symposium on Software Testing and Analysis},
      date-added = {2017-06-05 03:05:11 +0000},
      date-modified = {2017-09-09 10:19:18 +0000},
      pages = {273--283},
      series = {ISSTA 2017},
      title = {{FLUCCS}: Using Code and Change Metrics to Improve Fault Localisation},
      year = {2017}
    }