Using regression learners to predict performance problems on software updates: a case study on elevators dispatching algorithms

Aitor Gartziandia, Aitor Arrieta, Aitor Agirre, Goiuria Sagardui, Maite Arratibel. Using regression learners to predict performance problems on software updates: a case study on elevators dispatching algorithms. In Chih-Cheng Hung, Jiman Hong, Alessio Bechini, Eunjee Song, editors, SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, Republic of Korea, March 22-26, 2021. pages 135-144, ACM, 2021. [doi]

@inproceedings{GartziandiaAASA21,
  title = {Using regression learners to predict performance problems on software updates: a case study on elevators dispatching algorithms},
  author = {Aitor Gartziandia and Aitor Arrieta and Aitor Agirre and Goiuria Sagardui and Maite Arratibel},
  year = {2021},
  doi = {10.1145/3412841.3441894},
  url = {https://doi.org/10.1145/3412841.3441894},
  researchr = {https://researchr.org/publication/GartziandiaAASA21},
  cites = {0},
  citedby = {0},
  pages = {135-144},
  booktitle = {SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, Republic of Korea, March 22-26, 2021},
  editor = {Chih-Cheng Hung and Jiman Hong and Alessio Bechini and Eunjee Song},
  publisher = {ACM},
  isbn = {978-1-4503-8104-8},
}