Dhaminda B. Abeywickrama, Nicola Bicocchi & Franco Zambonelli (2012):
SOTA: Towards a General Model for Self-Adaptive Systems.
In: 2012 IEEE 21st Int. Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises,
pp. 48–53,
doi:10.1109/WETICE.2012.48.
Dhaminda B. Abeywickrama, Nicklas Hoch & Franco Zambonelli (2013):
SimSOTA: Engineering and Simulating Feedback Loops for Self-Adaptive Systems.
In: Proc. of the Int. C* Conf. on Computer Science and Software Engineering,
C3S2E '13.
Association for Computing Machinery,
pp. 67–76,
doi:10.1145/2494444.2494446.
Mokhtar S. Bazaraa, John J. Jarvis & Hanif D. Sherali (2011):
Linear programming and network flows.
John Wiley & Sons,
doi:10.1002/9780471703778.
Basil Becker & Holger Giese (2008):
Modeling of Correct Self-Adaptive Systems: A Graph Transformation System Based Approach.
In: Proc. of the 5th Int. Conf. on Soft Computing as Transdisciplinary Science and Technology,
CSTST '08.
Association for Computing Machinery,
pp. 508–516,
doi:10.1145/1456223.1456326.
Nelly Bencomo, Sebastian Götz & Hui Song (2019):
Models@run.time: a guided tour of the state of the art and research challenges.
Software & Systems Modeling 18(5),
pp. 3049–3082,
doi:10.1007/s10270-018-00712-x.
Gordon Blair, Nelly Bencomo & Robert B. France (2009):
Models@ run.time.
Computer 42(10),
pp. 22–27,
doi:10.1109/MC.2009.326.
Stephen P. Bradley, Arnoldo C. Hax & Thomas L. Magnanti (1977):
Applied Mathematical Programming.
Addison-Wesley.
Yuriy Brun, Giovanna Di Marzo Serugendo, Cristina Gacek, Holger Giese, Holger Kienle, Marin Litoiu, Hausi Müller, Mauro Pezzè & Mary Shaw (2009):
Engineering Self-Adaptive Systems through Feedback Loops,
pp. 48–70.
Springer,
doi:10.1007/978-3-642-02161-9_3.
Alexandru Burdusel, Steffen Zschaler & Daniel Strüber (2018):
MDEoptimiser: A Search Based Model Engineering Tool.
In: Proc. of the 21st ACM/IEEE Int. Conf. on Model Driven Engineering Languages and Systems: Companion Proceedings,
MODELS '18.
Association for Computing Machinery,
pp. 12–16,
doi:10.1145/3270112.3270130.
Bihuan Chen, Xin Peng, Yijun Yu, Bashar Nuseibeh & Wenyun Zhao (2014):
Self-Adaptation through Incremental Generative Model Transformations at Runtime.
In: Proc. of the 36th Int. Conf. on Software Engineering,
ICSE 2014.
Association for Computing Machinery,
pp. 676–687,
doi:10.1145/2568225.2568310.
Betty H. C. Cheng, Kerstin I. Eder, Martin Gogolla, Lars Grunske, Marin Litoiu, Hausi A. Müller, Patrizio Pelliccione, Anna Perini, Nauman A. Qureshi, Bernhard Rumpe, Daniel Schneider, Frank Trollmann & Norha M. Villegas (2014):
Using Models at Runtime to Address Assurance for Self-Adaptive Systems,
pp. 101–136.
Springer,
doi:10.1007/978-3-319-08915-7_4.
Sebastian Ehmes, Maximilian Kratz & Andy Schürr (2022):
Graph-Based Specification and Automated Construction of ILP Problems.
In: Proc. of the Thirteenth Int. Workshop on Graph Computation Models, Nantes, France, 6th July 2022,
Electronic Proceedings in Theoretical Computer Science 374.
Open Publishing Association,
pp. 3–22,
doi:10.4204/EPTCS.374.3.
Martin Fleck, Javier Troya & Manuel Wimmer (2016):
Search-based model transformations.
Journal of Software: Evolution and Process,
pp. 1081–1117,
doi:10.1002/smr.1804.
Charles L. Forgy (1982):
Rete: A Fast Algorithm for the Many Pattern/Many Object Pattern Match Problem.
Artificial Intelligence,
pp. 17–37,
doi:10.1016/0004-3702(82)90020-0.
Sona Ghahremani, Holger Giese & Thomas Vogel (2020):
Improving Scalability and Reward of Utility-Driven Self-Healing for Large Dynamic Architectures.
ACM Trans. Auton. Adapt. Syst. 14(3),
doi:10.1145/3380965.
Stefan John, Jens Kosiol, Leen Lambers & Gabriele Taentzer (2023):
A graph-based framework for model-driven optimization facilitating impact analysis of mutation operator properties.
Software and Systems Modeling,
doi:10.1007/s10270-022-01078-x.
Jeffrey O. Kephart & David M. Chess (2003):
The vision of autonomic computing.
Computer 36(1),
pp. 41–50,
doi:10.1109/MC.2003.1160055.
David G. Luenberger & Yinyu Ye (1984):
Linear and Nonlinear Programming.
Springer,
doi:10.1007/978-3-319-18842-3.
Hui Song, Xiaodong Zhang, Nicolas Ferry, Franck Chauvel, Arnor Solberg & Gang Huang (2014):
Modelling Adaptation Policies as Domain-Specific Constraints.
In: Model-Driven Engineering Languages and Systems.
Springer,
pp. 269–285,
doi:10.1007/978-3-319-11653-2_17.
Stefan Tomaszek, Roland Speith & Andy Schürr (2021):
Virtual network embedding: ensuring correctness and optimality by construction using model transformation and integer linear programming techniques.
Software and Systems Modeling,
pp. 1299–1332,
doi:10.1007/s10270-020-00852-z.
Jieyu Zhang, Cheng-Yu Hsieh, Yue Yu, Chao Zhang & Alexander Ratner (2022):
A Survey on Programmatic Weak Supervision.
CoRR abs/2202.05433,
doi:10.48550/arXiv.2202.05433.