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All Outputs (51)

RaM: Causally-Connected and Requirements-Aware Runtime Models using Bayesian Learning (2019)
Presentation / Conference Contribution
Bencomo, N., & Paucar, L. H. G. (2019). RaM: Causally-Connected and Requirements-Aware Runtime Models using Bayesian Learning. In M. Kessentini, T. Yue, A. Pretschner, S. Voss, & L. Burgueño (Eds.), . https://doi.org/10.1109/models.2019.00005

[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.

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., …Zambonelli, F. (2013). Software Engineering for Self-Adaptive Systems: Research Challenges in the Provision of Assurances. In R. de Lemos, D. Garlan, C. Ghezzi, & H. Giese (Eds.), . https://doi.org/10.1007/978-3-319-74183-3_1

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.

Supporting Decision-Making for Self-Adaptive Systems: From Goal Models to Dynamic Decision Networks (2013)
Presentation / Conference Contribution
Bencomo, N., & Belaggoun, A. (2013). Supporting Decision-Making for Self-Adaptive Systems: From Goal Models to Dynamic Decision Networks. In J. Dörr, & A. L. Opdahl (Eds.), . https://doi.org/10.1007/978-3-642-37422-7_16

[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.

Dynamic decision networks for decision-making in self-adaptive systems: a case study (2013)
Presentation / Conference Contribution
Bencomo, N., Belaggoun, A., & Issarny, V. (2013). Dynamic decision networks for decision-making in self-adaptive systems: a case study. In M. Litoiu, & J. Mylopoulos (Eds.), . https://doi.org/10.1109/seams.2013.6595498

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.