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Enterprise Architecture-Based Project Assurance Model for the Proof-of-Concept of AI Service Systems

Enterprise Architecture-Based Project Assurance Model for the Proof-of-Concept of AI Service Systems

Hironori Takeuchi
Copyright: © 2021 |Volume: 12 |Issue: 1 |Pages: 15
ISSN: 2640-4265|EISSN: 2640-4273|EISBN13: 9781799863809|DOI: 10.4018/IJSSSP.2021010104
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MLA

Takeuchi, Hironori. "Enterprise Architecture-Based Project Assurance Model for the Proof-of-Concept of AI Service Systems." IJSSSP vol.12, no.1 2021: pp.63-77. http://doi.org/10.4018/IJSSSP.2021010104

APA

Takeuchi, H. (2021). Enterprise Architecture-Based Project Assurance Model for the Proof-of-Concept of AI Service Systems. International Journal of Systems and Software Security and Protection (IJSSSP), 12(1), 63-77. http://doi.org/10.4018/IJSSSP.2021010104

Chicago

Takeuchi, Hironori. "Enterprise Architecture-Based Project Assurance Model for the Proof-of-Concept of AI Service Systems," International Journal of Systems and Software Security and Protection (IJSSSP) 12, no.1: 63-77. http://doi.org/10.4018/IJSSSP.2021010104

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Abstract

This research considers the common understanding of proof-of-concept (PoC) projects developing AI service systems between business and IT divisions. The authors propose an enterprise architecture (EA)-based project assurance model for the PoC of AI service systems, and represented elements of the developed application, development processes, and project goals with relations in the model. The proposed model provides two views, the “Why-What-Who View” representing the relationships between goals, processes and actors, and “Who-What-How View” representing the relationships between actors, processes and applications. Through these views, this paper shows that project members can understand the development activities in which they are involved, and the impact or significance of each activity on the project, and the project goal is assured by executing each activity in the process. Through a case study the authors show that one can use the proposed model as a reference model when proposing and executing AI service system development projects.

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