Computational Intelligence for Software Engineering Lab

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}
   }