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Danny Weyns,
Bradley Schmerl, Masako Kishida, Alberto Leva, Marin Litoiu, Necmiye Ozay, Colin Paterson and Kenji Tei. Towards Better Adaptive Systems by Combining MAPE, Control Theory, and Machine Learning. In Proceedings of the 16th Symposium on Software Engineering for Adaptive and Self-Managing Systems, Virtual, 17-24 May 2021.
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| 3 |
Nianyu Li, Mingyue Zhang,
Eunsuk Kang and
David Garlan. Engineering Secure Self-adaptive Systems with Bayesian Games. In Proceedings of the 24th International Conference on Fundamental Approaches to Software Engineering, 27 March - 1 April 2021.
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| 4 |
Rebekka Wohlrab and
David Garlan. Defining Utility Functions for Multi-Stakeholder Self-Adaptive Systems. In Proceedings of the 27th International Working Conference on Requirements Engineering: Foundation for Software Quality, Essen, Germany (Virtual), 12-15 April 2021.
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| 5 |
Nianyu Li,
Javier Cámara,
David Garlan,
Bradley Schmerl and Zhi Jin. Hey! Preparing Humans to do Tasks in Self-adaptive Systems. In Proceedings of the 16th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2021), Virtual, 18-21 May 2021. Awarded Best Student Paper for SEAMS 2021.
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| 6 |
Shang-Wen Cheng. Change Is the Ultimate Self-Adaptive Challenge. In Proceedings of the 16th Symposium on Software Engineering for Adaptive and Self-Managing Systems, Virtual, 18-21 May 2021.
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| 7 |
David Garlan. The Unknown Unknowns are not Totally Unknown. In Proceedings of the 16th Symposium on Software Engineering for Adaptive and Self-Managing Systems, Virtual, 18-21 May 2021.
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| 8 |
Changjian Zhang,
Ryan Wagner, Pedro Orvalho,
David Garlan, Vasco Manquinho, Ruben Martins and
Eunsuk Kang. AlloyMax: Bringing Maximum Satisfaction to Relational Specifications. In The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) 2021, Virtual, 23-28 August 2021. Distinguished Paper Award.
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| 9 |
Maria Casimiro, Paolo Romano,
David Garlan,
Gabriel A. Moreno,
Eunsuk Kang and Mark Klein. Self-Adaptation for Machine Learning Based Systems. In Proceedings of the 1st International Workshop on Software Architecture and Machine Learning (SAML), Springer, Virtual, (Originally Växjö, Sweden), 14 September 2021.
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| 10 |
Mohammed Alharbi,
Shihong Huang and
David Garlan. A Probabilistic Model for Personality Trait Focused Explainability. In Proceedings of the 4th international Workshop on Context-aware, Autonomous and Smart Architecture (CASA 2021), co-located with the 15th European Conference on Software Architecture, Virtual (Originally Växjö Sweden), 13-17 September 2021.
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| 11 |
Javier Cámara, Mariana Silva,
David Garlan and
Bradley Schmerl. Explaining Architectural Design Tradeoff Spaces: a Machine Learning Approach. In Proceedings of the 15th European Conference on Software Architecture, Virtual (Originally, Växjö Sweden), 13-17 September 2021.
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| 12 |
Danny Weyns, Tomas Bures, Radu Calinescu, Barnaby Craggs, John Fitzgerald,
David Garlan, Bashar Nuseibeh, Liliana Pasquale, Awais Rashid,
Ivan Ruchkin and
Bradley Schmerl. Six Software Engineering Principles for Smarter Cyber-Physical Systems. In Proceedings of the Workshop on Self-Improving System Integration, 27 September 2021.
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| 13 |
Maria Casimiro,
David Garlan,
Javier Cámara, Luis Rodrigues and Paolo Romano. A Probabilistic Model Checking Approach to Self-Adapting Machine Learning Systems. In Proceedings of the Third International Workshop on Automated and verifiable Software sYstem DEvelopment (ASYDE), 6 December 2021.
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