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

by Roberto Pietrantuono, Domenico Cotroneo, Ermeson C. Andrade and Fumio Machida

Reference:

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

Bibtex Entry:

@inproceedings{DBLP:conf/qrs/PietrantuonoCAM22,
  author       = {Roberto Pietrantuono and
                  Domenico Cotroneo and
                  Ermeson C. Andrade and
                  Fumio Machida},
  title        = {An Empirical Study on Software Aging of Long-Running Object Detection
                  Algorithms},
  booktitle    = {22nd {IEEE} International Conference on Software Quality, Reliability
                  and Security, {QRS} 2022, Guangzhou, China, December 5-9, 2022},
  pages        = {1091--1102},
  publisher    = {{IEEE}},
  year         = {2022},
  url          = {https://doi.org/10.1109/QRS57517.2022.00112},
  doi          = {10.1109/QRS57517.2022.00112},
  timestamp    = {Tue, 28 Mar 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/qrs/PietrantuonoCAM22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}