Simulation of Software Security Tests by Soft Computational Methods
- 10.2991/iwci-19.2019.45How to use a DOI?
- software performance reliability; software testing; reliability growth models; debugging models; fuzzy models; artificial neural networks; soft computing
The worth of the using of software performance reliability assessment models at early testing stages is shown. The characteristic property of nonmonotonic increasing of performance reliability of current software systems is underscored. Ways of enhancing adequacy and fidelity of software testing simulation are exemplified. The conditions of using of soft computing for assessing the reliability and security of information systems software are shown.
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Alexey Markov AU - Georgii Markov AU - Valentin Tsirlov PY - 2019/09 DA - 2019/09 TI - Simulation of Software Security Tests by Soft Computational Methods BT - Proceedings of the VIth International Workshop 'Critical Infrastructures: Contingency Management, Intelligent, Agent-Based, Cloud Computing and Cyber Security' (IWCI 2019) PB - Atlantis Press SP - 257 EP - 261 SN - 1951-6851 UR - https://doi.org/10.2991/iwci-19.2019.45 DO - 10.2991/iwci-19.2019.45 ID - Markov2019/09 ER -