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A requirements engineering perspective to AI-based systems development: a vision paper

Authors :
Xavier Franch
Andreas Jedlitschka
Silverio Martínez-Fernández
Universitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació
Universitat Politècnica de Catalunya. inSSIDE - integrated Software, Services, Information and Data Engineering
Source :
Requirements Engineering: Foundation for Software Quality ISBN: 9783031297854
Publication Year :
2023
Publisher :
Springer, 2023.

Abstract

Context and motivation: AI-based systems (i.e., systems integrating some AI model or component) are becoming pervasive in society. A number of characteristics of AI-based systems challenge classical requirements engineering (RE) and raise questions yet to be answered. Question: This vision paper inquires the role that RE should play in the development of AI-based systems with a focus on three areas: roles involved, requirements’ scope and non-functional requirements. Principal Ideas: The paper builds upon the vision that RE shall become the cornerstone in AI-based system development and proposes some initial ideas and roadmap for these three areas. Contribution: Our vision is a step towards clarifying the role of RE in the context of AI-based systems development. The different research lines outlined in the paper call for further research in this area. This paper is part of the project TED2021-130923B-I00, funded by MCIN/AEI/10.13039/501100011033 and the European Union “NextGenera-tionEU”/PRTR.

Details

Language :
English
ISBN :
978-3-031-29785-4
ISSN :
20211309
ISBNs :
9783031297854
Database :
OpenAIRE
Journal :
Requirements Engineering: Foundation for Software Quality ISBN: 9783031297854
Accession number :
edsair.doi.dedup.....28b373bfdddfadc31cbe7ea370e81ee4