Towards Technology Acceptance: a Bayesian Network of soft requirements, the case of the NHS COVID-19 Test and Trace App

Paucar, Luis Hernán García; Bencomo, Nelly; Sutcliffe, Alistair G.; Yue, Tao; Mirakhorli, Mehdi

doi:10.1109/rew53955.2021.00026

Towards Technology Acceptance: a Bayesian Network of soft requirements, the case of the NHS COVID-19 Test and Trace App

Paucar, Luis Hernán García; Bencomo, Nelly; Sutcliffe, Alistair G.; Yue, Tao; Mirakhorli, Mehdi

Authors

Luis Hernán García Paucar

Dr Nelly Bencomo nelly.bencomo@durham.ac.uk
Associate Professor

Alistair G. Sutcliffe

Tao Yue

Mehdi Mirakhorli

Contributors

Tao Yue
Editor

Mehdi Mirakhorli
Editor

Citation

Paucar, L. H. G., Bencomo, N., Sutcliffe, A. G., Yue, T., & Mirakhorli, M. (2021, December). Towards Technology Acceptance: a Bayesian Network of soft requirements, the case of the NHS COVID-19 Test and Trace App. Presented at 29th IEEE International Requirements Engineering Conference Workshops, RE 2021 Workshops, Notre Dame, IN, USA, September 20-24, 2021

Presentation Conference Type	Conference Paper (published)
Conference Name	29th IEEE International Requirements Engineering Conference Workshops, RE 2021 Workshops, Notre Dame, IN, USA, September 20-24, 2021
Publication Date	2021
Deposit Date	Sep 25, 2022
Publisher	Institute of Electrical and Electronics Engineers
Pages	146-152
DOI	https://doi.org/10.1109/rew53955.2021.00026
Public URL	https://durham-repository.worktribe.com/output/1135967