Items where Schools and Departments is "Software Reliability" and Year is 2023
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Behbehani, D., Komninos, N. 
ORCID: 0000-0003-2776-1283, Al-Begain, K. & Rajarajan, M. ORCID: 0000-0001-5814-9922 (2023).
Cloud Enterprise Dynamic Risk Assessment (CEDRA): a dynamic risk assessment using dynamic Bayesian networks for cloud environment.
Journal of Cloud Computing, 12(1),
article number 79.
doi: 10.1186/s13677-023-00454-2
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Hovorushchenko, T., Aleksov, S., Ishtvan, E. , Voichur, O. & Popov, P. T. ORCID: 0000-0002-3434-5272 (2023).
Recognizing the Situations and Supporting the Decision-Making in the Residential Luminosity Control Subsystem of «Smart House» Cyber-Physical System.
In:
CEUR Workshop Proceedings.
Intelligent Information Technologies & Systems of Information Security 2023, 22-24 Mar 2023, Khmelnytskyi, Ukraine.
Huang, F. & Strigini, L. ORCID: 0000-0002-4246-2866 (2023).
HEDF: A Method for Early Forecasting Software Defects Based on Human Error Mechanisms.
IEEE Access, 11,
pp. 3626-3652.
doi: 10.1109/access.2023.3234490
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Izonin, I., Hovorushchenko, T. & Popov, P. T. ORCID: 0000-0002-3434-5272 (2023).
Assurance of Information Systems' Quality and Security.
Journal of Cyber Security and Mobility, 12(3),
pp. V-XI.
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Keizer, N. V., Ascigil, O., Król, M. ORCID: 0000-0002-3437-8621 & Pavlou, G. (2023).
Ditto: Towards Decentralised Similarity Search for Web3 Services.
In:
2023 IEEE International Conference on Decentralized Applications and Infrastructures (DAPPS).
2023 IEEE International Conference on Decentralized Applications and Infrastructures (DAPPS), 17-20 Jul 2023, Athens, Greece.
doi: 10.1109/dapps57946.2023.00018
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Salako, K. ORCID: 0000-0003-0394-7833 & Zhao, X. (2023).
Demonstrating Software Reliability using Possibly Correlated Tests: Insights from a Conservative Bayesian Approach.
Quality and Reliability Engineering International, 40(3),
pp. 1197-1220.
doi: 10.1002/qre.3460
Salako, K. ORCID: 0000-0003-0394-7833 & Zhao, X. (2023).
The Unnecessity of Assuming Statistically Independent Tests in Bayesian Software Reliability Assessments.
IEEE Transactions on Software Engineering, 49(4),
pp. 2829-2838.
doi: 10.1109/TSE.2022.3233802