AIC approach for intelligent systems requirements elicitation
AIC approach for intelligent systems requirements elicitation
This paper introduces an AIC (Appreciation, Influence, and Control) based method for requirements elicitation, which describes and evaluates complex problems involving intelligent systems. Our approach integrates Critical Systems Engineering and AIC Soft Systems Design Theory for eliciting a comprehensive set of Intelligent Systems Requirements. It focuses on enhancing the architect's ability to appreciate and understand intricate intelligent behaviours in complex problems to predict emergence. Our proposed architecting strategy suggests a modelling method by transitioning from a macroscopic (holistic) view of a problem to a microscopic specification (reductionist view) of intelligent system actions in a systematic, hierarchical, incremental fashion. We consider the problem as a system of systems (soft and hard systems) to better encompass the extent of the design space and anticipate the nuances of increasing complexity after deploying an intelligent system over time. This paper bases its architecting philosophy on the AIC soft systems design theory, an incremental abstract-based system requirements derivation approach SHARCS (for hard systems design) and the HAZOP framework. The output of this process is a comprehensive set of hazardous and opportunistic scenarios and intelligent systems' behavioural requirements in those scenarios.
AIC, AIC-matrix, HAZOP, intelligent systems, MBSE, safety, SHARCS, systems science, systems thinking
570-579
Al-Shareefy, Haider
1e0f196e-966b-4ab7-bb71-72ed093da201
Butler, Michael
54b9c2c7-2574-438e-9a36-6842a3d53ed0
Hoang, Thai Son
dcc0431d-2847-4e1d-9a85-54e4d6bab43f
8 January 2024
Al-Shareefy, Haider
1e0f196e-966b-4ab7-bb71-72ed093da201
Butler, Michael
54b9c2c7-2574-438e-9a36-6842a3d53ed0
Hoang, Thai Son
dcc0431d-2847-4e1d-9a85-54e4d6bab43f
Al-Shareefy, Haider, Butler, Michael and Hoang, Thai Son
(2024)
AIC approach for intelligent systems requirements elicitation.
In 2023 7th International Conference on System Reliability and Safety, ICSRS 2023.
IEEE.
.
(doi:10.1109/ICSRS59833.2023.10381076).
Record type:
Conference or Workshop Item
(Paper)
Abstract
This paper introduces an AIC (Appreciation, Influence, and Control) based method for requirements elicitation, which describes and evaluates complex problems involving intelligent systems. Our approach integrates Critical Systems Engineering and AIC Soft Systems Design Theory for eliciting a comprehensive set of Intelligent Systems Requirements. It focuses on enhancing the architect's ability to appreciate and understand intricate intelligent behaviours in complex problems to predict emergence. Our proposed architecting strategy suggests a modelling method by transitioning from a macroscopic (holistic) view of a problem to a microscopic specification (reductionist view) of intelligent system actions in a systematic, hierarchical, incremental fashion. We consider the problem as a system of systems (soft and hard systems) to better encompass the extent of the design space and anticipate the nuances of increasing complexity after deploying an intelligent system over time. This paper bases its architecting philosophy on the AIC soft systems design theory, an incremental abstract-based system requirements derivation approach SHARCS (for hard systems design) and the HAZOP framework. The output of this process is a comprehensive set of hazardous and opportunistic scenarios and intelligent systems' behavioural requirements in those scenarios.
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More information
Submitted date: 11 October 2023
Accepted/In Press date: 25 October 2023
e-pub ahead of print date: 12 December 2023
Published date: 8 January 2024
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Funding Information:
In the future, we will be applying the process to a different case study and perform a comparison with other techniques (such as SHARCS, STPA [12], SEC-STPA [14], and Krishnan [15]) to understand further the AIC approach impact on producing rich safety concept. Additionally, we will advocate for the integration of icons in AIC models. Using pictography can mitigate potential misunderstandings, especially when dealing with complex models. The inclusion of icons in systems modelling has gained significant attention recently due to its potential to enhance clarity and comprehension across cultures and engineering mindsets ACKNOWLEDGEMENT Al-Shareefy is supported by a Thales EPSRC iCASE Award. Butler and Hoang are supported by the HD-Sec project, which was funded by the Digital Security by Design (DSbD) Programme delivered by UKRI to support the DSbD ecosystem.
Publisher Copyright:
© 2023 IEEE.
Venue - Dates:
7th International Conference on System Reliability and Safety, ICSRS 2023, , Bologna, Italy, 2023-11-22 - 2023-11-24
Keywords:
AIC, AIC-matrix, HAZOP, intelligent systems, MBSE, safety, SHARCS, systems science, systems thinking
Identifiers
Local EPrints ID: 487547
URI: http://eprints.soton.ac.uk/id/eprint/487547
PURE UUID: d1a04cd7-31de-48ed-a51c-ceeca155b76f
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Date deposited: 23 Feb 2024 17:33
Last modified: 24 Jul 2024 01:48
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Contributors
Author:
Haider Al-Shareefy
Author:
Michael Butler
Author:
Thai Son Hoang
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