Skip to main content

Research Repository

Advanced Search

Dr Nelly Bencomo's Outputs (54)

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

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

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

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

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.

Run-time and Collective Adaptation of Gameful Systems (2020)
Presentation / Conference Contribution
Bucchiarone, A., Bencomo, N., Loria, E., Marconi, A., & Cicchetti, A. (2020, December). Run-time and Collective Adaptation of Gameful Systems. Presented at 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2020, Companion Volume, Washington, DC, USA, August 17-21, 2020

Toward model-driven sustainability evaluation (2020)
Journal Article
Kienzle, J., Mussbacher, G., Combemale, B., Bastin, L., Bencomo, N., Bruel, J.-M., Becker, C., Betz, S., Chitchyan, R., Cheng, B. H., Klingert, S., Paige, R. F., Penzenstadler, B., Seyff, N., Syriani, E., & Venters, C. C. (2020). Toward model-driven sustainability evaluation. Communications of the ACM, 63(3), 80-91. https://doi.org/10.1145/3371906

Opportunities in intelligent modeling assistance (2020)
Journal Article
Mussbacher, G., Combemale, B., Kienzle, J., Abrahão, S., Ali, H., Bencomo, N., Búr, M., Burgueño, L., Engels, G., Jeanjean, P., Jézéquel, J.-M., Kühn, T., Mosser, S., Sahraoui, H. A., Syriani, E., Varró, D., & Weyssow, M. (2020). Opportunities in intelligent modeling assistance. Software and Systems Modeling, 19(5), 1045-1053. https://doi.org/10.1007/s10270-020-00814-5

Temporal Models for History-Aware Explainability (2020)
Presentation / Conference Contribution
Ullauri, J. M. P., García-Domínguez, A., Paucar, L. H. G., & Bencomo, N. (2020, October). Temporal Models for History-Aware Explainability. Presented at SAM '20: 12th System Analysis and Modelling Conference, (Online) Canada

On one hand, there has been a growing interest towards the application of AI-based learning and evolutionary programming for self-adaptation under uncertainty. On the other hand, self-explanation is one of the self-* properties that has been neglecte... Read More about Temporal Models for History-Aware Explainability.

Towards an assessment grid for intelligent modeling assistance (2020)
Presentation / Conference Contribution
Mussbacher, G., Combemale, B., Abrahão, S., Bencomo, N., Burgueño, L., Engels, G., Kienzle, J., Kühn, T., Mosser, S., Sahraoui, H. A., Weyssow, M., Guerra, E., & Iovino, L. (2020, December). Towards an assessment grid for intelligent modeling assistance. Presented at MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems, Virtual Event, Canada, 18-23 October, 2020, Companion Proceedings

Automated provenance graphs for models@run.time (2020)
Presentation / Conference Contribution
Reynolds, O., García-Domínguez, A., & Bencomo, N. (2020, December). Automated provenance graphs for models@run.time. Presented at MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems, Virtual Event, Canada, 18-23 October, 2020, Companion Proceedings

A Hitchhiker's Guide to Model-Driven Engineering for Data-Centric Systems (2020)
Journal Article
Combemale, B., Kienzle, J., Mussbacher, G., Ali, H., Amyot, D., Bagherzadeh, M., Batot, E., Bencomo, N., Benni, B., Bruel, J.-M., Cabot, J., Cheng, B. H., Collet, P., Engels, G., Heinrich, R., Jézéquel, J.-M., Koziolek, A., Mosser, S., Reussner, R. H., Sahraoui, H. A., …Wimmer, M. (2021). A Hitchhiker's Guide to Model-Driven Engineering for Data-Centric Systems. IEEE Software, 38(4), 71-84. https://doi.org/10.1109/ms.2020.2995125

Towards History-Aware Self-Adaptation with Explanation Capabilities (2019)
Presentation / Conference Contribution
García-Domínguez, A., Bencomo, N., Ullauri, J. M. P., & Paucar, L. H. G. (2019, December). Towards History-Aware Self-Adaptation with Explanation Capabilities. Presented at IEEE 4th International Workshops on Foundations and Applications of Self* Systems, FAS*W@SASO/ICCAC 2019, Umea, Sweden, June 16-20, 2019