Architectural Decisions in AI-Based Systems: An Ontological View

Architecting AI-based systems entails making some decisions that are particular to this type of systems. Therefore, it becomes necessary to gather all necessary knowledge to inform such decisions, and to articulate this knowledge in a form that facilitates knowledge transfer among different AI proje...

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Bibliographic Details
Published inQuality of Information and Communications Technology pp. 18 - 27
Main Authors Franch, Xavier, Martínez-Fernández, Silverio, Ayala, Claudia P., Gómez, Cristina
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing
SeriesCommunications in Computer and Information Science
Subjects
AI-based systems
Architectural decisions
Architectural Views
Ontologies
Quality attributes
Software architecture
UML class diagrams
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Summary:Architecting AI-based systems entails making some decisions that are particular to this type of systems. Therefore, it becomes necessary to gather all necessary knowledge to inform such decisions, and to articulate this knowledge in a form that facilitates knowledge transfer among different AI projects. In this exploratory paper, we first present the main results of a literature survey in the area, and then we propose a preliminary ontology for architectural decision making, which we exemplify using a subset of the papers selected in the literature review. In the discussion, we remark on the variety of decision types and system contexts, highlighting the need to further investigate the current state of research and practice in this area. Besides, we summarize our plans to move along this research area by widening the literature review and incorporating more AI-related concepts to this first version of the ontology.
ISBN:3031141784
9783031141782
ISSN:1865-0929
1865-0937
DOI:10.1007/978-3-031-14179-9_2