Values@Runtime: An Adaptive Framework for Operationalising Values

Bennaceur, Amel; Hassett, Diane; Nuseibeh, Bashar and Zisman, Andrea (2023). Values@Runtime: An Adaptive Framework for Operationalising Values. In: IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Society (ICSE-SEIS), 14-20 May 2023, Melbourne, Australia.

URL: https://conf.researchr.org/home/icse-2023

Abstract

We present an adaptive framework to assist users in making more value-sensitive decisions during their (runtime) use of software. The framework enables users to (i) represent, instantiate, and monitor their values and behaviour; (ii) understand mismatches between stated values and their observed behaviour; and (iii) recommend ways to align users' values and behaviour. We built a 'values shopping basket' tool to illustrate and demonstrate the adaptive framework in the food consumption domain, a sector that is rich in values and regularly undergoes reflection and debate.

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About

• Item ORO ID
• 87490
• Item Type
• Conference or Workshop Item
• Project Funding Details

• Funded Project Name	Project ID	Funding Body
  SAUSE: Secure, Adaptive, Usable Software Engineering	EP/R013144/1 (previous: EP/R005095/1)	EPSRC (Engineering and Physical Sciences Research Council)
  UKRI Trustworthy Autonomous Systems Node in Resilience	EP/V026747/1	EPSRC (Engineering and Physical Sciences Research Council)
  Science Foundation Ireland grants 16/RC/3918 (Confirm)	Not Set	SFI
  Science Foundation Ireland grants 13/RC/2094 P2 (Lero)	Not Set	SFI

• Keywords
• Values@Runtime; operationalisation; adaptation; recommendations; reflection
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Software Engineering and Design (SEAD)
• Depositing User
• Amel Bennaceur