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Computer Science > Computers and Society

arXiv:2403.14697 (cs)
[Submitted on 15 Mar 2024]

Title:An AIC-based approach for articulating unpredictable problems in open complex environments

Authors:Haider AL-Shareefy, Michael Butler, Thai Son Hoang
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Abstract:This research paper presents an approach to enhancing the predictive capability of architects in the design and assurance of systems, focusing on systems operating in dynamic and unpredictable environments. By adopting a systems approach, we aim to improve architects' predictive capabilities in designing dependable systems (for example, ML-based systems). An aerospace case study is used to illustrate the approach. Multiple factors (challenges) influencing aircraft detection are identified, demonstrating the effectiveness of our approach in a complex operational setting. Our approach primarily aimed to enhance the architect's predictive capability.
Comments: S. Bernardi, T. Zoppi (Editors), "Fast Abstracts and Student Forum Proceedings - EDCC 2024 - 19th European Dependable Computing Conference, Leuven, Belgium, 8-11 April 2024"
Subjects: Computers and Society (cs.CY); Artificial Intelligence (cs.AI); Software Engineering (cs.SE)
Cite as: arXiv:2403.14697 [cs.CY]
  (or arXiv:2403.14697v1 [cs.CY] for this version)
  https://doi.org/10.48550/arXiv.2403.14697

Submission history

From: Haider Al-Shareefy [view email]
[v1] Fri, 15 Mar 2024 20:30:02 UTC (242 KB)
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