LS-sampling: an effective local search based sampling approach for achieving high t-wise coverage

Chuan Luo, Binqi Sun, Bo Qiao, Junjie Chen, Hongyu Zhang 0002, Jinkun Lin, Qingwei Lin, Dongmei Zhang. LS-sampling: an effective local search based sampling approach for achieving high t-wise coverage. In Diomidis Spinellis, Georgios Gousios, Marsha Chechik, Massimiliano Di Penta, editors, ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Athens, Greece, August 23-28, 2021. pages 1081-1092, ACM, 2021. [doi]

@inproceedings{LuoSQC0LLZ21,
  title = {LS-sampling: an effective local search based sampling approach for achieving high t-wise coverage},
  author = {Chuan Luo and Binqi Sun and Bo Qiao and Junjie Chen and Hongyu Zhang 0002 and Jinkun Lin and Qingwei Lin and Dongmei Zhang},
  year = {2021},
  doi = {10.1145/3468264.3468622},
  url = {https://doi.org/10.1145/3468264.3468622},
  researchr = {https://researchr.org/publication/LuoSQC0LLZ21},
  cites = {0},
  citedby = {0},
  pages = {1081-1092},
  booktitle = {ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Athens, Greece, August 23-28, 2021},
  editor = {Diomidis Spinellis and Georgios Gousios and Marsha Chechik and Massimiliano Di Penta},
  publisher = {ACM},
  isbn = {978-1-4503-8562-6},
}