An Empirical Study on Software Aging of Long-Running Object Detection Algorithms

Roberto Pietrantuono, Domenico Cotroneo, Ermeson C. Andrade, Fumio Machida. An Empirical Study on Software Aging of Long-Running Object Detection Algorithms. In 22nd IEEE International Conference on Software Quality, Reliability and Security, QRS 2022, Guangzhou, China, December 5-9, 2022. pages 1091-1102, IEEE, 2022. [doi]

@inproceedings{PietrantuonoCAM22,
  title = {An Empirical Study on Software Aging of Long-Running Object Detection Algorithms},
  author = {Roberto Pietrantuono and Domenico Cotroneo and Ermeson C. Andrade and Fumio Machida},
  year = {2022},
  doi = {10.1109/QRS57517.2022.00112},
  url = {https://doi.org/10.1109/QRS57517.2022.00112},
  researchr = {https://researchr.org/publication/PietrantuonoCAM22},
  cites = {0},
  citedby = {0},
  pages = {1091-1102},
  booktitle = {22nd IEEE International Conference on Software Quality, Reliability and Security, QRS 2022, Guangzhou, China, December 5-9, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-7704-8},
}