COINSE Laboratory

Computational Intelligence for Software Engineering Laboratory

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

Latest Publications

  1. Shin, D., Yoo, S., & Bae, D. H. (2018). A Theoretical and Empirical Study of Diversity-aware Mutation Adequacy Criterion. IEEE Transactions on Software Engineering, 44(10), 914–931. [pdf] [bibtex]
      @article{Shin2017rw,
      author = {Shin, D. and Yoo, S. and Bae, D. H.},
      date-modified = {2018-11-06 11:02:27 +0900},
      issn = {0098-5589},
      journal = {IEEE Transactions on Software Engineering},
      keywords = {mutation},
      month = jul,
      number = {10},
      pages = {914-931},
      title = {A Theoretical and Empirical Study of Diversity-aware Mutation Adequacy Criterion},
      volume = {44},
      year = {2018},
      bdsk-url-1 = {http://dx.doi.org/10.1109/TSE.2017.2732347}
    }
    
    
  2. Papadakis, M., Shin, D., Yoo, S., & Bae, D.-H. (2018). Are Mutation Scores Correlated with Real Fault Detection? A Large Scale Empirical study on the Relationship Between Mutants and Real Faults. In Proceedings of the 40th International Conference on Software Engineering (pp. 537–548). [pdf] [bibtex]
      @inproceedings{Papadakis2018hi,
      author = {Papadakis, Mike and Shin, Donghwan and Yoo, Shin and Bae, Doo-Hwan},
      booktitle = {Proceedings of the 40th International Conference on Software Engineering},
      date-added = {2018-02-19 06:31:40 +0000},
      date-modified = {2018-07-29 13:20:36 +0900},
      month = may,
      pages = {537-548},
      series = {ICSE 2018},
      title = {Are Mutation Scores Correlated with Real Fault Detection? A Large Scale Empirical study on the Relationship Between Mutants and Real Faults},
      year = {2018}
    }
    
    
  3. Liu, K., Kim, D., Bissyande, T. F., Yoo, S., & Traon, Y. L. (2018). Mining Fix Patterns for FindBugs Violations. IEEE Transactions on Software Engineering, to Appear. [bibtex]
      @article{Liu2018aa,
      author = {Liu, K. and Kim, D. and Bissyande, T. F. and Yoo, S. and Traon, Y. Le},
      date-added = {2018-12-08 11:10:59 +0900},
      date-modified = {2018-12-08 11:11:15 +0900},
      issn = {0098-5589},
      journal = {IEEE Transactions on Software Engineering, to appear},
      title = {Mining Fix Patterns for FindBugs Violations},
      year = {2018},
      bdsk-url-1 = {https://doi.org/10.1109/TSE.2018.2884955}
    }
    
    
  4. Binkley, D., Gold, N., Islam, S., Krinke, J., & Yoo, S. (2018). A Comparison of Tree- and Line-Oriented Observational Slicing. Empirical Software Engineering, to Appear. [bibtex]
      @article{Binkley2018ol,
      author = {Binkley, David and Gold, Nicolas and Islam, Syed and Krinke, Jens and Yoo, Shin},
      date-added = {2018-12-03 10:23:09 +0900},
      date-modified = {2018-12-03 10:25:53 +0900},
      journal = {Empirical Software Engineering, to appear},
      title = {A Comparison of Tree- and Line-Oriented Observational Slicing},
      year = {2018}
    }
    
    
  5. Shin, D., Yoo, S., Papadakis, M., & Bae, D.-H. (2018). Empirical Evaluation of Mutation-based Test Case Prioritization Techniques. Journal of Software Testing, Verification and Reliability, to Appear. [bibtex]
      @article{Shin2018lt,
      author = {Shin, Donghwan and Yoo, Shin and Papadakis, Mike and Bae, Doo-Hwan},
      date-added = {2018-12-03 10:23:09 +0900},
      date-modified = {2018-12-03 10:25:43 +0900},
      journal = {{Journal of Software Testing, Verification and Reliability}, to appear},
      title = {Empirical Evaluation of Mutation-based Test Case Prioritization Techniques},
      year = {2018}
    }
    
    
  6. Choi, K., Sohn, J., & Yoo, S. (2018). Learning Fault Localisation for Both Humans and Machines using Multi-Objective GP. In Proceedings of the 10th International Symposium on Search Based Software Engineering (pp. 349–355). [pdf] [bibtex]
      @inproceedings{Choi2018aa,
      author = {Choi, Kabdo and Sohn, Jeongju and Yoo, Shin},
      booktitle = {Proceedings of the 10th International Symposium on Search Based Software Engineering},
      date-added = {2018-09-08 17:56:07 +0200},
      date-modified = {2018-09-08 17:56:07 +0200},
      pages = {349--355},
      series = {SSBSE 2018},
      title = {Learning Fault Localisation for Both Humans and Machines using {M}ulti-{O}bjective {GP}},
      year = {2018}
    }
    
    
  7. Kim, J., Epitropakis, M. G., & Yoo, S. (2018). Learning Without Peeking: Secure Multi-Party Computation Genetic Programming. In Proceedings of the 10th International Symposium on Search Based Software Engineering (pp. 246–261). [pdf] [bibtex]
      @inproceedings{Kim2018aa,
      author = {Kim, Jinhan and Epitropakis, Michael G. and Yoo, Shin},
      booktitle = {Proceedings of the 10th International Symposium on Search Based Software Engineering},
      date-added = {2018-09-08 17:56:07 +0200},
      date-modified = {2018-09-08 17:56:07 +0200},
      journal = {Proceedings of},
      pages = {246--261},
      series = {SSBSE 2018},
      title = {Learning Without Peeking: Secure Multi-Party Computation Genetic Programming},
      year = {2018}
    }