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A Requirements Engineering Perspective to AI-Based Systems Development: A Vision Paper

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Requirements Engineering: Foundation for Software Quality (REFSQ 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13975))

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.

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Notes

  1. 1.

    Other authors are more specific and talk about RE for machine learning (ML) systems. In this paper, we have adopted the widest AI perspective, which includes ML.

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Acknowledgments

This paper is part of the project TED2021-130923B-I00, funded by MCIN/AEI/https://doi.org/10.13039/501100011033 and the European Union “NextGenerationEU”/PRTR.

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Authors and Affiliations

  1. Universitat Politècnica de Catalunya (UPC), Barcelona, Spain

    Xavier Franch & Silverio Martínez-Fernández

  2. Fraunhofer IESE, Kaiserslautern, Germany

    Xavier Franch & Andreas Jedlitschka

Authors
  1. Xavier Franch
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  2. Andreas Jedlitschka
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  3. Silverio Martínez-Fernández
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Correspondence to Xavier Franch .

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Editors and Affiliations

  1. CNR ISTI, Pisa, Italy

    Alessio Ferrari

  2. Chalmers Tekniska Högskola, Gothenburg, Sweden

    Birgit Penzenstadler

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Franch, X., Jedlitschka, A., Martínez-Fernández, S. (2023). A Requirements Engineering Perspective to AI-Based Systems Development: A Vision Paper. In: Ferrari, A., Penzenstadler, B. (eds) Requirements Engineering: Foundation for Software Quality. REFSQ 2023. Lecture Notes in Computer Science, vol 13975. Springer, Cham. https://doi.org/10.1007/978-3-031-29786-1_15

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  • DOI: https://doi.org/10.1007/978-3-031-29786-1_15

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