@article{1447201,
      recid = {1447201},
      author = {Zamojski, Wojciech, and Mazurkiewicz, Jacek and Sugier,  Jarosław, and Walkowiak, Tomasz, and Kacprzyk, Janusz,},
      title = {New advances in dependability of networks and systems :  proceedings of the seventeenth International Conference on  Dependability of Computer Systems DepCoS-RELCOMEX, June  27-July 1, 2022, Wrocław, Poland /. International  Conference on Dependability of Computer Systems},
      pages = {1 online resource (xiv, 400 pages) :},
      note = {Includes author index.},
      abstract = {The book consists of papers on selected topics of  dependability analysis in computer systems and networks  which were discussed during the 17th DepCoS-RELCOMEX  conference held in Wrocław, Poland, from June 27th to July  1st, 2022. Their collection will be an interesting source  material for scientists, researchers, practitioners and  students who are dealing with design, analysis and  engineering of computer systems and networks and must  ensure their dependable operation. Being probably the most  complex technical systems ever engineered by man (and also,  the most dynamically evolving ones), organization of  contemporary computer systems and networks cannot be  interpreted only as a structure built on the base of  unreliable technical resources. Their evaluation must take  into account a unique blend of interacting people, networks  (together with mobile properties, cloud organization,  Internet of Everything, etc.) and a large number of users  dispersed geographically and constantly producing an  unconceivable number of applications. Research methods  being continuously developed for dependability analyses  apply newest results of artificial and computational  intelligence. Selection of papers in this book illustrates  broad range of topics, often multi-disciplinary, which is  considered in present-day dependability explorations; it  also reveals an increasing role of the latest methods based  on machine/deep learning and neural networks in these  studies.},
      url = {http://library.usi.edu/record/1447201},
      doi = {https://doi.org/10.1007/978-3-031-06746-4},
}