Addressing the uncertainty interaction problem in software-intensive systems

Author:

Cámara Javier1,Calinescu Radu2,Cheng Betty H. C.3,Garlan David4,Schmerl Bradley4,Troya Javier1,Vallecillo Antonio1

Affiliation:

1. University of Málaga, Spain

2. University of York, United Kingdom

3. Michigan State University

4. Carnegie Mellon University

Funder

Air Force Research Laboratory

Spanish National Plan for Scientific and Technical Research and Innovation

European Commission

EPSRC

FCT

NASA

NSF (National Science Foundation)

Publisher

ACM

Reference31 articles.

1. Naif Alasmari , Radu Calinescu , Colin Paterson , and Raffaela Mirandola . 2022. Quantitative verification with adaptive uncertainty reduction. J. Syst. Softw. 188 ( 2022 ). Naif Alasmari, Radu Calinescu, Colin Paterson, and Raffaela Mirandola. 2022. Quantitative verification with adaptive uncertainty reduction. J. Syst. Softw. 188 (2022).

2. Elias Alevizos , Anastasios Skarlatidis , Alexander Artikis , and Georgios Paliouras . 2017. Probabilistic Complex Event Recognition: A Survey. ACM Comput. Surv. 50, 5 ( 2017 ), 71:1--71:31. Elias Alevizos, Anastasios Skarlatidis, Alexander Artikis, and Georgios Paliouras. 2017. Probabilistic Complex Event Recognition: A Survey. ACM Comput. Surv. 50, 5 (2017), 71:1--71:31.

3. Aitor Arrieta . 2021. Multi-Fidelity Digital Twins: a Means for Better Cyber-Physical Systems Testing? CoRR abs/2101.05697 ( 2021 ). arXiv:2101.05697 Aitor Arrieta. 2021. Multi-Fidelity Digital Twins: a Means for Better Cyber-Physical Systems Testing? CoRR abs/2101.05697 (2021). arXiv:2101.05697

4. Efficient synthesis of robust models for stochastic systems

5. Formal Verification With Confidence Intervals to Establish Quality of Service Properties of Software Systems

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