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Dr Nelly Bencomo's Outputs (15)

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

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

Modeling Autonomic Systems in the time of ML, DevOps and Microservices (2021)
Presentation / Conference Contribution
Bencomo, N. (2021, December). Modeling Autonomic Systems in the time of ML, DevOps and Microservices. Presented at ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS 2021 Companion, Fukuoka, Japan, October 10-15, 2021

From a Series of (Un)fortunate Events to Global Explainability of Runtime Model-Based Self-Adaptive Systems (2021)
Presentation / Conference Contribution
Ullauri, J. M. P., García-Domínguez, A., & Bencomo, N. (2021, December). From a Series of (Un)fortunate Events to Global Explainability of Runtime Model-Based Self-Adaptive Systems. Presented at ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS 2021 Companion, Fukuoka, Japan, October 10-15, 2021

Gamified and Self-Adaptive Applications for the Common Good: Research Challenges Ahead (2021)
Presentation / Conference Contribution
Bucchiarone, A., Cicchetti, A., Bencomo, N., Loria, E., & Marconi, A. (2021, December). Gamified and Self-Adaptive Applications for the Common Good: Research Challenges Ahead. Presented at 16th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS@ICSE 2021, Madrid, Spain, May 18-24, 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

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 priority-awareness in autonomous intelligent systems (2021)
Presentation / Conference Contribution
Samin, H., Paucar, L. H. G., Bencomo, N., & Sawyer, P. (2021, December). Towards priority-awareness in autonomous intelligent systems. Presented at SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, Republic of Korea, March 22-26, 2021

The Secret to Better AI and Better Software (Is Requirements Engineering) (2021)
Journal Article
Bencomo, N., Guo, J., Harrison, R., Heyn, H.-M., & Menzies, T. (2022). The Secret to Better AI and Better Software (Is Requirements Engineering). IEEE Software, 39(1), 105-110. https://doi.org/10.1109/ms.2021.3118099

Much has been written about the algorithmic role that AI plays for automation in SE. But what about the role of AI, augmented by human knowledge? Can we make a profound advance by combining human and artificial intelligence? Researchers in requiremen... Read More about The Secret to Better AI and Better Software (Is Requirements Engineering).

Event-driven Temporal Models for Explanations - ETeMoX: Explaining Reinforcement Learning (2021)
Journal Article
Parra-Ullauri, J. M., Garcıa-Domınguez, A., Bencomo, N., Zheng, C., Zhen, C., Boubeta-Puig, J., Ortiz, G., & Yang, S. (2022). Event-driven Temporal Models for Explanations - ETeMoX: Explaining Reinforcement Learning. Software and Systems Modeling, 21(3), 1091-1113. https://doi.org/10.1007/s10270-021-00952-4

Modern software systems are increasingly expected to show higher degrees of autonomy and self-management to cope with uncertain and diverse situations. As a consequence, autonomous systems can exhibit unexpected and surprising behaviours. This is exa... Read More about Event-driven Temporal Models for Explanations - ETeMoX: Explaining Reinforcement Learning.

Cronista: a multi-database automated provenance collection system for runtime models (2021)
Journal Article
Reynolds, O., García-Domínguez, A., & Bencomo, N. (2022). Cronista: a multi-database automated provenance collection system for runtime models. Information and Software Technology, 141, Article 106694. https://doi.org/10.1016/j.infsof.2021.106694

Context: Decision making by software systems that face uncertainty needs tracing to support understandability, as accountability is crucial. While logging has been essential to support explanations and understandability of behaviour, several issues s... Read More about Cronista: a multi-database automated provenance collection system for runtime models.