Abstract is missing.
- Evolving robot software and hardwareA. E. Eiben. 1-4 [doi]
- On the probabilistic analysis of neural networksCorina S. Pasareanu, Hayes Converse, Antonio Filieri, Divya Gopinath. 5-8 [doi]
- A hybrid approach combining control theory and AI for engineering self-adaptive systemsRicardo Diniz Caldas, Arthur Rodrigues, Eric Bernd Gil, Genaína Nunes Rodrigues, Thomas Vogel 0001, Patrizio Pelliccione. 9-19 [doi]
- Applying deep learning to reduce large adaptation spaces of self-adaptive systems with multiple types of goalsM. Jeroen Van Der Donckt, Danny Weyns, Federico Quin, Jonas Van Der Donckt, Sam Michiels. 20-30 [doi]
- Towards classes of architectural dependability assurance for machine-learning-based systemsMax Scheerer, Jonas Klamroth, Ralf H. Reussner, Bernhard Beckert. 31-37 [doi]
- Supporting viewpoints to review the lack of requirements in space systems with machine learningKenji Mori, Naoko Okubo, Yasushi Ueda, Masafumi Katahira, Toshiyuki Amagasa. 38-44 [doi]
- Collective risk minimization via a bayesian model for statistical software testingJoachim Hänsel, Christian M. Adriano, Johannes Dyck, Holger Giese. 45-56 [doi]
- Leveraging test logs for building a self-adaptive path plannerKun Liu, Xiaoyi Zhang, Paolo Arcaini, Fuyuki Ishikawa, Wenpin Jiao. 57-63 [doi]
- A framework for the analysis of adaptive systems using bayesian statisticsYuning He, Johann Schumann. 64-70 [doi]
- A platform to enable self-adaptive cloud applications using trustworthiness propertiesJosé D'Abruzzo Pereira, Rui Silva, Nuno Antunes, Jorge L. M. Silva, Breno de França, Regina Moraes, Marco Vieira. 71-77 [doi]
- Towards bridging the gap between control and self-adaptive system propertiesJavier Cámara, Alessandro Vittorio Papadopoulos, Thomas Vogel 0001, Danny Weyns, David Garlan, Shihong Huang, Kenji Tei. 78-84 [doi]
- An ontological architecture for principled and automated system of systems compositionAbdessalam Elhabbash, Vatsala Nundloll, Yehia Elkhatib, Gordon S. Blair, Vicent Sanz Marco. 85-95 [doi]
- DATESSO: self-adapting service composition with debt-aware two levels constraint reasoningSatish Kumar, Tao Chen 0001, Rami Bahsoon, Rajkumar Buyya. 96-107 [doi]
- Learning run-time compositions of interacting adaptationsNicolás Cardozo, Ivana Dusparic. 108-114 [doi]
- Monitoring for control in role-oriented self-adaptive systemsIlja Shmelkin. 115-119 [doi]
- A role-based architecture for self-adaptive cyber-physical systemsTim Kluge. 120-124 [doi]
- Software architecture and task plan co-adaptation for mobile service robotsJavier Cámara, Bradley R. Schmerl, David Garlan. 125-136 [doi]
- Dynamic adaptation of software-defined networks for IoT systems: a search-based approachSeung Yeob Shin, Shiva Nejati, Mehrdad Sabetzadeh, Lionel C. Briand, Chetan Arora 0002, Frank Zimmer. 137-148 [doi]
- Knowledge aggregation with subjective logic in multi-agent self-adaptive cyber-physical systemsAna Petrovska, Sergio Quijano, Ilias Gerostathopoulos, Alexander Pretschner. 149-155 [doi]
- Using component ensembles for modeling autonomic component collaboration in smart farmingPetr Hnetynka, Tomás Bures, Ilias Gerostathopoulos, Jan Pacovsky. 156-162 [doi]
- Towards a code of ethics for autonomous and self-adaptive systemsDanny Weyns. 163-165 [doi]
- Human in the loop: what is the point of no return?Rogério de Lemos. 165-166 [doi]
- Expecting the unexpected: developing autonomous-system design principles for reacting to unpredicted events and conditionsAssaf Marron, Lior Limonad, Sarah Pollack, David Harel. 167-173 [doi]
- Self-protection against business logic vulnerabilitiesSilvan Zeller, Narges Khakpour, Danny Weyns, Daniel Deogun. 174-180 [doi]
- Explanations for human-on-the-loop: a probabilistic model checking approachNianyu Li, Sridhar Adepu, Eunsuk Kang, David Garlan. 181-187 [doi]
- Towards highly scalable runtime models with historyLucas Sakizloglou, Sona Ghahremani, Thomas Brand, Matthias Barkowsky, Holger Giese. 188-194 [doi]