XSA: eXplainable Self-Adaptation-Reference-Cited by-同舟云学术

XSA: eXplainable Self-Adaptation

Published:2022-10-10 Issue: Volume: Page:
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Container-title:Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering
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Author:

Camilli Matteo¹^ORCID,Mirandola Raffaela²^ORCID,Scandurra Patrizia³^ORCID

Affiliation:

1. Free University of Bozen-Bolzano, Italy

2. Politecnico di Milano, Italy

3. University of Bergamo, Italy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3551349.3559552

Reference31 articles.

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3. M. Blumreiter , J. Greenyer , F. Chiyah Garcia , V. Klos , M. Schwammberger , C. Sommer , A. Vogelsang , and A. Wortmann . 2019 . Towards Self-Explainable Cyber-Physical Systems. In 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE Computer Society , Los Alamitos, CA, USA, 543–548. https://doi.org/10.1109/MODELS-C. 2019 .00084 10.1109/MODELS-C.2019.00084 M. Blumreiter, J. Greenyer, F. Chiyah Garcia, V. Klos, M. Schwammberger, C. Sommer, A. Vogelsang, and A. Wortmann. 2019. Towards Self-Explainable Cyber-Physical Systems. In 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE Computer Society, Los Alamitos, CA, USA, 543–548. https://doi.org/10.1109/MODELS-C.2019.00084

4. Javier Cámara , Henry Muccini , and Karthik Vaidhyanathan . 2020 . Quantitative Verification-Aided Machine Learning: A Tandem Approach for Architecting Self-Adaptive IoT Systems. In 2020 IEEE International Conference on Software Architecture, ICSA 2020 , Salvador, Brazil , March 16-20, 2020. IEEE, 11–22. https://doi.org/10.1109/ICSA47634.2020.00010 10.1109/ICSA47634.2020.00010 Javier Cámara, Henry Muccini, and Karthik Vaidhyanathan. 2020. Quantitative Verification-Aided Machine Learning: A Tandem Approach for Architecting Self-Adaptive IoT Systems. In 2020 IEEE International Conference on Software Architecture, ICSA 2020, Salvador, Brazil, March 16-20, 2020. IEEE, 11–22. https://doi.org/10.1109/ICSA47634.2020.00010

5. Javier Cámara , Mariana Silva , David Garlan , and Bradley R. Schmerl . 2021 . Explaining Architectural Design Tradeoff Spaces: A Machine Learning Approach. In Software Architecture - 15th European Conference , ECSA 2021, Virtual Event, Sweden, September 13-17, 2021, Proceedings(Lecture Notes in Computer Science, Vol. 12857) . Springer, 49–65. https://doi.org/10.1007/978-3-030-86044-8_4 10.1007/978-3-030-86044-8_4 Javier Cámara, Mariana Silva, David Garlan, and Bradley R. Schmerl. 2021. Explaining Architectural Design Tradeoff Spaces: A Machine Learning Approach. In Software Architecture - 15th European Conference, ECSA 2021, Virtual Event, Sweden, September 13-17, 2021, Proceedings(Lecture Notes in Computer Science, Vol. 12857). Springer, 49–65. https://doi.org/10.1007/978-3-030-86044-8_4

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