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Dr Nelly Bencomo's Outputs (54)

Perpetual Assurances for Self-Adaptive Systems (2019)
Journal Article
Weyns, D., Bencomo, N., Calinescu, R., Cámara, J., Ghezzi, C., Grassi, V., Grunske, L., Inverardi, P., Jézéquel, J.-M., Malek, S., Mirandola, R., Mori, M., & Tamburrelli, G. (2019). Perpetual Assurances for Self-Adaptive Systems

Querying and Annotating Model Histories with Time-Aware Patterns (2019)
Presentation / Conference Contribution
García-Domínguez, A., Bencomo, N., Ullauri, J. M. P., & Paucar, L. H. G. (2019, December). Querying and Annotating Model Histories with Time-Aware Patterns. Presented at 22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2019, Munich, Germany, September 15-20, 2019

Preface to 9th International Workshop on Model-Driven Requirements Engineering (2019)
Presentation / Conference Contribution
Bencomo, N., Mussbacher, G., Moreira, A., Araújo, J., & Sánchez, P. (2019, December). Preface to 9th International Workshop on Model-Driven Requirements Engineering. Presented at 27th IEEE International Requirements Engineering Conference Workshops, RE 2019 Workshops, Jeju Island, Korea (South), September 23-27, 2019

ARRoW: automatic runtime reappraisal of weights for self-adaptation (2019)
Presentation / Conference Contribution
Paucar, L. H. G., Bencomo, N., & Yuen, K. K. F. (2019, December). ARRoW: automatic runtime reappraisal of weights for self-adaptation. Presented at Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, SAC 2019, Limassol, Cyprus, April 8-12, 2019

An architectural framework for quality-driven adaptive continuous experimentation (2019)
Presentation / Conference Contribution
Jiménez, M. A., Rivera, L. F., Villegas, N. M., Tamura, G., Müller, H. A., & Bencomo, N. (2019, December). An architectural framework for quality-driven adaptive continuous experimentation. Presented at Proceedings of the Joint 4th International Workshop on Rapid Continuous Software Engineering and 1st International Workshop on Data-Driven Decisions, Experimentation and Evolution, RCoSE-DDrEE@ICSE 2019, Montreal, QC, Canada, May 27, 2019

RaM: Causally-Connected and Requirements-Aware Runtime Models using Bayesian Learning (2019)
Presentation / Conference Contribution
Bencomo, N., & Paucar, L. H. G. (2019, September). RaM: Causally-Connected and Requirements-Aware Runtime Models using Bayesian Learning. Presented at 22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2019, Munich, Germany

[Context/Motivation] A model at runtime can be defined as an abstract representation of a system, including its structure and behaviour, which exist alongside with the running system. Runtime models provide support for decision-making and reasoning b... Read More about RaM: Causally-Connected and Requirements-Aware Runtime Models using Bayesian Learning.

Bayesian artificial intelligence for tackling uncertainty in self-adaptive systems: The case of dynamic decision networks (2013)
Presentation / Conference Contribution
Bencomo, N., Belaggoun, A., & Issarny, V. (2013, December). Bayesian artificial intelligence for tackling uncertainty in self-adaptive systems: The case of dynamic decision networks. Presented at 2nd International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, RAISE 2013, San Francisco, CA, USA, May 25-26, 2013

Supporting Decision-Making for Self-Adaptive Systems: From Goal Models to Dynamic Decision Networks (2013)
Presentation / Conference Contribution
Bencomo, N., & Belaggoun, A. (2013, April). Supporting Decision-Making for Self-Adaptive Systems: From Goal Models to Dynamic Decision Networks. Presented at Requirements Engineering: Foundation for Software Quality - 19th International Working Conference, REFSQ 2013, Essen, Germany, April 8-11, 2013. Proceedings, Essen, Germany

[Context/Motivation] Different modeling techniques have been used to model requirements and decision-making of self-adaptive systems (SASs). Specifically, goal models have been prolific in supporting decision-making depending on partial and total ful... Read More about Supporting Decision-Making for Self-Adaptive Systems: From Goal Models to Dynamic Decision Networks.

Software Engineering for Self-Adaptive Systems: Research Challenges in the Provision of Assurances (2013)
Presentation / Conference Contribution
Lemos, R. D., Garlan, D., Ghezzi, C., Giese, H., Andersson, J., Litoiu, M., Schmerl, B. R., Weyns, D., Baresi, L., Bencomo, N., Brun, Y., Cámara, J., Calinescu, R., Cohen, M. B., Gorla, A., Grassi, V., Grunske, L., Inverardi, P., Jézéquel, J.-M., Malek, S., …Zambonelli, F. (2013, December). Software Engineering for Self-Adaptive Systems: Research Challenges in the Provision of Assurances. Presented at Software Engineering for Self-Adaptive Systems III. Assurances - International Seminar, Dagstuhl Castle, Germany, December 15-19, 2013, Revised Selected and Invited Papers

The important concern for modern software systems is to become more cost-effective, while being versatile, flexible, resilient, dependable, energy-efficient, customisable, configurable and self-optimising when reacting to run-time changes that may oc... Read More about Software Engineering for Self-Adaptive Systems: Research Challenges in the Provision of Assurances.

Addressing the QoS drift in specification models of self-adaptive service-based systems (2013)
Presentation / Conference Contribution
Torres, R., Bencomo, N., & Astudillo, H. (2013, December). Addressing the QoS drift in specification models of self-adaptive service-based systems. Presented at 2nd International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, RAISE 2013, San Francisco, CA, USA, May 25-26, 2013

Dynamic decision networks for decision-making in self-adaptive systems: a case study (2013)
Presentation / Conference Contribution
Bencomo, N., Belaggoun, A., & Issarny, V. (2013, May). Dynamic decision networks for decision-making in self-adaptive systems: a case study. Presented at Proceedings of the 8th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2013, San Francisco, CA, USA, May 20-21, 2013, San Francisco, CA

Bayesian decision theory is increasingly applied to support decision-making processes under environmental variability and uncertainty. Researchers from application areas like psychology and biomedicine have applied these techniques successfully. Howe... Read More about Dynamic decision networks for decision-making in self-adaptive systems: a case study.