A Requirements Engineering Perspective to AI-based Systems Development: A Vision Paper
Context and motivation: AI-based systems (i.e., systems integrating some AI model or component) are becoming pervasive. A number of characteristics of AI-based systems challenge classical requirements engineering (RE) and raise questions not yet 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.
Tue 18 AprDisplayed time zone: Brussels, Copenhagen, Madrid, Paris change
16:00 - 17:30 | Session R5 - RE for Artificial IntelligenceResearch Papers at Sitges Chair(s): Andreas Vogelsang University of Cologne | ||
16:00 40mScientific evaluation | An investigation of challenges encountered when specifying training data and runtime monitors for safety critical ML applications Research Papers P: Hans-Martin Heyn University of Gothenburg & Chalmers University of Technology, A: Eric Knauss Chalmers | University of Gothenburg, A: Iswarya Malleswaran Chalmers University of Technology, A: Shruthi Dinakaran Chalmers University of Technology, D: Anastasia Mavridou KBR / NASA Ames Research Center Pre-print | ||
16:40 20mResearch preview | Exploring Requirements for Software that Learns: A Research Preview Research Papers P: Anastasia Mavridou KBR / NASA Ames Research Center, A: Marie Farrell The University of Manchester, A: Johann Schumann KBR / NASA Ames Research Center, D: Xavier Franch Universitat Politècnica de Catalunya | ||
17:00 20mVision and Emerging Results | A Requirements Engineering Perspective to AI-based Systems Development: A Vision Paper Research Papers P: Xavier Franch Universitat Politècnica de Catalunya, A: Andreas Jedlitschka Fraunhofer, A: Silverio Martínez-Fernández UPC-BarcelonaTech, D: Hans-Martin Heyn University of Gothenburg & Chalmers University of Technology |