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A Bayesian network-based model to understand the role of soft requirements in technology acceptance: the case of the NHS COVID-19 test and trace app in England and Wales.

, , , and . SAC, page 1327-1336. ACM, (2022)

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Temporal Models for History-Aware Explainability., , , and . SAM, page 155-164. ACM, (2020)Juggling Preferences in a World of Uncertainty., , and . RE, page 430-435. IEEE Computer Society, (2017)Decision Making for Self-Adaptation Based on Partially Observable Satisfaction of Non-Functional Requirements., , and . ACM Trans. Auton. Adapt. Syst., 19 (2): 11 (June 2024)History-aware explanations: towards enabling human-in-the-loop in self-adaptive systems., , , and . MoDELS (Companion), page 286-295. ACM, (2022)ARRoW: Tool Support for Automatic Runtime Reappraisal of Weights., and . RE, page 458-461. IEEE Computer Society, (2017)Improving the Decision-Making Support in Context-Aware Applications: The Case of an Adaptive Virtual Education Learning Management System., , , and . CIbSE, page 220-233. Curran Associates, (2018)Querying and Annotating Model Histories with Time-Aware Patterns., , , and . MoDELS, page 194-204. IEEE, (2019)The Implementation of ISO/IEC 29110 Software Engineering Standards and Guides in Very Small Entities., , and . ENASE (Selected Papers), volume 599 of Communications in Computer and Information Science, page 162-179. Springer, (2015)Towards priority-awareness in autonomous intelligent systems., , , and . SAC, page 1328-1337. ACM, (2021)RaM: Causally-Connected and Requirements-Aware Runtime Models using Bayesian Learning., and . MoDELS, page 216-226. IEEE, (2019)