Stability Analysis of a Quantum Network with Max-Weight Scheduling
(2021)
Other
Vasantam, T., & Towsley, D. (2021). Stability Analysis of a Quantum Network with Max-Weight Scheduling
Outputs (246)
Pri-AwaRE: Tool Support for priority-aware decision-making under uncertainty (2021)
Presentation / Conference Contribution
Samin, H., Bencomo, N., & Sawyer, P. (2021, December). Pri-AwaRE: Tool Support for priority-aware decision-making under uncertainty. Presented at 29th IEEE International Requirements Engineering Conference, RE 2021, Notre Dame, IN, USA, September 20-24, 2021
Exploring the use of Twitter data to better understand church attendance (2021)
Thesis
Cooper, A.-P. Exploring the use of Twitter data to better understand church attendance. (Thesis). [Awarding Organisation: Unknown]. https://durham-repository.worktribe.com/output/1647153
Investigating the Potential Impact of Values on Requirements and Software Engineering (2021)
Presentation / Conference Contribution
Sutcliffe, A. G., Sawyer, P., Liu, W., & Bencomo, N. (2021, December). Investigating the Potential Impact of Values on Requirements and Software Engineering. Presented at 43rd IEEE/ACM International Conference on Software Engineering: Software Engineering in Society, ICSE (SEIS) 2021, Madrid, Spain, May 25-28, 2021
Towards Technology Acceptance: a Bayesian Network of soft requirements, the case of the NHS COVID-19 Test and Trace App (2021)
Presentation / Conference Contribution
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
RDMSim: An Exemplar for Evaluation and Comparison of Decision-Making Techniques for Self-Adaptation (2021)
Presentation / Conference Contribution
Samin, H., Paucar, L. H. G., Bencomo, N., Hurtado, C. M. C., & Fredericks, E. M. (2021, December). RDMSim: An Exemplar for Evaluation and Comparison of Decision-Making Techniques for Self-Adaptation. Presented at 16th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS@ICSE 2021, Madrid, Spain, May 18-24, 2021
Deterministic protocols in the SINR model without knowledge of coordinates (2021)
Journal Article
Moses Jr., W. K., & Vaya, S. (2021). Deterministic protocols in the SINR model without knowledge of coordinates. Journal of Computer and System Sciences, 115, https://doi.org/10.1016/j.jcss.2020.06.002
Evidence for Teaching Practices that Broaden Participation for Women in Computing (2021)
Presentation / Conference Contribution
Morrison, B. B., Quinn, B. A., Bradley, S., Buffardi, K., Harrington, B., Hu, H. H., Kallia, M., McNeill, F., Ola, O., Parker, M., Rosato, J., & Waite, J. (2021, December). Evidence for Teaching Practices that Broaden Participation for Women in Computing. Presented at Proceedings of the 2021 Working Group Reports on Innovation and Technology in Computer Science EducationComputing has, for many years, been one of the least demographically diverse STEM fields, particularly in terms of women's participation [12, 36]. The last decade has seen a proliferation of research exploring new teaching techniques and their effect... Read More about Evidence for Teaching Practices that Broaden Participation for Women in Computing.
Semantics-STGCNN: A Semantics-guided Spatial-Temporal Graph Convolutional Network for Multi-class Trajectory Prediction (2021)
Presentation / Conference Contribution
Rainbow, B. A., Men, Q., & Shum, H. P. (2021, October). Semantics-STGCNN: A Semantics-guided Spatial-Temporal Graph Convolutional Network for Multi-class Trajectory Prediction. Presented at 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Melbourne, AustraliaPredicting the movement trajectories of multiple classes of road users in real-world scenarios is a challenging task due to the diverse trajectory patterns. While recent works of pedestrian trajectory prediction successfully modelled the influence of... Read More about Semantics-STGCNN: A Semantics-guided Spatial-Temporal Graph Convolutional Network for Multi-class Trajectory Prediction.
Efficient Deterministic Leader Election for Programmable Matter (2021)
Presentation / Conference Contribution
Dufoulon, F., Kutten, S., & Moses Jr., W. K. (2021, December). Efficient Deterministic Leader Election for Programmable Matter. Presented at Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing