Publications of Year
<< 2022 >>
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| 1 |
Sridhar Adepu,
Nianyu Li,
Eunsuk Kang and
David Garlan. Modeling and Analysis of Explanation for Secure Industrial Control Systems. In ACM Transactions on Autonomous and Adaptive Systems, July 2022. https://dl.acm.org/doi/10.1145/3557898.
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| 2 |
Rebekka Wohlrab and
David Garlan. A Negotiation Support System for Defining Utility Functions for Multi-Stakeholder Self-Adaptive Systems. In Requirements Engineering, 2022. https://doi.org/10.1007/s00766-021-00368-y.
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| 3 |
Javier Cámara, Javier Troya, Antonio Vallecillo, Nelly Bencomo, Radu Calinescu, Betty H.C. Cheng,
David Garlan and
Bradley Schmerl. The uncertainty interaction problem in self-adaptive systems. In Software System and Modelling, August 2022. Expert Voice Paper (https://doi.org/10.1007/s10270-022-01037-6).
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| 4 |
Rebekka Wohlrab,
Javier Cámara,
David Garlan and
Bradley Schmerl. Explaining quality attribute tradeoffs in automated planning for self-adaptive systems. In The Journal of Systems and Software, October 2022.
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| 5 |
Javier Cámara,
Rebekka Wohlrab,
David Garlan and
Bradley Schmerl. ExTrA: Explaining architectural design tradeoff spaces via dimensionality reduction. In Journal of Systems and Software, December 2022. https://doi.org/10.1016/j.jss.2022.111578.
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| 6 |
Christopher Steven Timperley,
Tobias Dürschmid,
Bradley Schmerl,
David Garlan and Claire Le Goues. ROSDiscover: Statically Detecting Run-Time Architecture Misconfigurations in Robotics Systems. In Proceedings of the 19th International Conference on Software Architecture (ICSA 2022), 12-15 March 2022.
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| 7 |
Andres Diaz-Pace and
David Garlan. Making Architecture Optimization Transparent with Tactic-Based Explanations. In Proceedings of the 19th International Conference on Software Architecture (ICSA 2022), 12-15 March 2022.
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| 8 |
Rebekka Wohlrab,
Rômulo Meira-Góes and
Michael Vierhauser. Run-Time Adaptation of Quality Attributes for Automated Planning. In Proceedings of the 17th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS’22), Pittsburgh, USA and Virtual, 18-24 May 2022.
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| 9 |
Maria Casimiro, Paolo Romano,
David Garlan and Luis Rodrigues. Towards a Framework for Adapting Machine Learning Components. In 2022 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), 2022. Presentation Video.
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| 10 |
Roykrong Sukkerd. Improving Transparency and Intelligibility of Multi-Objective Probabilistic Planning. PhD thesis, Nr. (CMU-ISR-22-104), Institute for Software Research, School of Computer Science, 2022.
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Vishal Dwivedi. Halo: A Framework for End-User Architecting. PhD thesis, Nr. (CMU-S3D-22-110), Software and Societal Systems Department, School of Computer Science, 2022.
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