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Deep Learning for Effective and Efficient Reduction of Large Adaptation Spaces in Self-adaptive Systems
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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PRISM: Probabilistic Symbolic Model Checker
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Software Engineering of Self-adaptive Systems
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Applying Architecture-Based Adaptation to Automate the Management of Internet-of-Things
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Feature Model-Guided Online Reinforcement Learning for Self-Adaptive Services
inferredcites →https://doi.org/10.1007/978-3-030-81688-9_26openalex-snapshot
Runtime Monitors for Markov Decision Processes
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Self-managing Internet of Things
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Software Engineering for Self-Adaptive Systems III. Assurances
inferredcites →https://doi.org/10.1007/978-3-540-69073-3_23openalex-snapshot
AMOEBA-RT: Run-Time Verification of Adaptive Software
inferredcites →https://doi.org/10.1007/978-3-642-02161-9_1openalex-snapshot
Software Engineering for Self-Adaptive Systems: A Research Roadmap
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A Goal-Based Modeling Approach to Develop Requirements of an Adaptive System with Environmental Uncertainty
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Rationalism with a dose of empiricism: combining goal reasoning and case-based reasoning for self-adaptive software systems
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ImageNet Large Scale Visual Recognition Challenge
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Multiple objective decision making - methods and applications: A state-of-the art survey
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Statistical probabilistic model checking with a focus on time-bounded properties
inferredcites →https://doi.org/10.1109/cmsbse.2013.6604427openalex-snapshot
Harnessing evolutionary computation to enable dynamically adaptive systems to manage uncertainty
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Self-Managed Systems: an Architectural Challenge
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Model-Based Simulation at Runtime for Self-Adaptive Systems
inferredcites →https://doi.org/10.1109/icsa47634.2020.00010openalex-snapshot
Quantitative Verification-Aided Machine Learning: A Tandem Approach for Architecting Self-Adaptive IoT Systems
inferredcites →https://doi.org/10.1109/icse.2013.6606552openalex-snapshot
Learning revised models for planning in adaptive systems
inferredcites →https://doi.org/10.1109/mc.2003.1160055openalex-snapshot
The vision of autonomic computing
inferredcites →https://doi.org/10.1109/mc.2004.175openalex-snapshot
Rainbow: architecture-based self-adaptation with reusable infrastructure
inferredcites →https://doi.org/10.1109/qosa.2016.13openalex-snapshot
Fuzzy Self-Learning Controllers for Elasticity Management in Dynamic Cloud Architectures
inferredcites →https://doi.org/10.1109/seams.2013.6595494openalex-snapshot
Run-time adaptation of mobile applications using genetic algorithms
inferredcites →https://doi.org/10.1109/seams.2015.16openalex-snapshot
SASS: Self-Adaptation Using Stochastic Search
inferredcites →https://doi.org/10.1109/seams15330.2009openalex-snapshot
2009 ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems
inferredcites →https://doi.org/10.1109/seams41706.2017openalex-snapshot
2017 IEEE/ACM 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)
inferredcites →https://doi.org/10.1109/seams47479.2019openalex-snapshot
2019 IEEE/ACM 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)
inferredcites →https://doi.org/10.1109/seams51251.2021openalex-snapshot
2021 International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)
inferredcites →https://doi.org/10.1109/seams51251.2021.00014openalex-snapshot
Decentralized Self-Adaptive Systems: A Mapping Study
inferredcites →https://doi.org/10.1109/seams51251.2021.00023openalex-snapshot
On the Impact of Applying Machine Learning in the Decision-Making of Self-Adaptive Systems
inferredcites →https://doi.org/10.1109/tpami.2013.50openalex-snapshot
Representation Learning: A Review and New Perspectives
inferredcites →https://doi.org/10.1109/tse.2010.92openalex-snapshot
Dynamic QoS Management and Optimization in Service-Based Systems
inferredcites →https://doi.org/10.1109/tse.2011.104openalex-snapshot
GenProg: A Generic Method for Automatic Software Repair
inferredcites →https://doi.org/10.1109/tse.2015.2421318openalex-snapshot
Supporting Self-Adaptation via Quantitative Verification and Sensitivity Analysis at Run Time
inferredcites →https://doi.org/10.1109/tse.2016.2608826openalex-snapshot
Self-Adaptive and Online QoS Modeling for Cloud-Based Software Services
inferredcites →https://doi.org/10.1109/tse.2018.2870895openalex-snapshot
Finding Faster Configurations Using FLASH
inferredcites →https://doi.org/10.1145/1134285.1134480openalex-snapshot
Software engineering for adaptive and self-managing systems
inferredcites →https://doi.org/10.1145/1509239.1509262openalex-snapshot
Modular verification of dynamically adaptive systems
inferredcites →https://doi.org/10.1145/1555228.1555258openalex-snapshot
Applying genetic algorithms to decision making in autonomic computing systems
inferredcites →https://doi.org/10.1145/1809049.1809080openalex-snapshot
Automatically generating adaptive logic to balance non-functional tradeoffs during reconfiguration
inferredcites →https://doi.org/10.1145/1985793.1985840openalex-snapshot
Run-time efficient probabilistic model checking
inferredcites →https://doi.org/10.1145/2568225.2568227openalex-snapshot
Brownout: building more robust cloud applications
inferredcites →https://doi.org/10.1145/2593929.2593932openalex-snapshot
Efficient runtime quantitative verification using caching, lookahead, and nearly-optimal reconfiguration
inferredcites →https://doi.org/10.1145/2593929.2593944openalex-snapshot
ActivFORMS: active formal models for self-adaptation
inferredcites →https://doi.org/10.1145/2701126.2701191openalex-snapshot
Model-based reinforcement learning approach for planning in self-adaptive software system
inferredcites →https://doi.org/10.1145/2786805.2786853openalex-snapshot
Proactive self-adaptation under uncertainty: a probabilistic model checking approach
inferredcites →https://doi.org/10.1145/3149180openalex-snapshot
Flexible and Efficient Decision-Making for Proactive Latency-Aware Self-Adaptation
inferredcites →https://doi.org/10.1145/3158668openalex-snapshot
A Survey of Statistical Model Checking
inferredcites →https://doi.org/10.1145/3194133.3194145openalex-snapshot
Managing uncertainty in self-adaptive systems with plan reuse and stochastic search
inferredcites →https://doi.org/10.1145/3377811.3380365openalex-snapshot
Reducing run-time adaptation space via analysis of possible utility bounds
inferredcites →https://doi.org/10.1145/3380965openalex-snapshot
Improving Scalability and Reward of Utility-Driven Self-Healing for Large Dynamic Architectures
inferredcites →https://doi.org/10.1145/3387939.3391605openalex-snapshot
Applying deep learning to reduce large adaptation spaces of self-adaptive systems with multiple types of goals
inferredcites →https://doi.org/10.1145/3469440openalex-snapshot
Applying Machine Learning in Self-adaptive Systems
inferredcites →https://doi.org/10.1145/3522585openalex-snapshot
ActivFORMS: A Formally Founded Model-based Approach to Engineer Self-adaptive Systems
inferredcites →https://doi.org/10.1201/9781420050264openalex-snapshot
CRC Standard Probability and Statistics Tables and Formulae
inferredcites →https://doi.org/10.4108/icst.collaboratecom.2013.254091openalex-snapshot
Designing for Self-Configuration and Self-Adaptation in the Internet of Things
inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-snapshot
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
inferredcites →https://doi.org/10.48550/arxiv.1609.04747openalex-snapshot
An overview of gradient descent optimization algorithms
inferredcites →https://doi.org/10.48550/arxiv.1907.09158openalex-snapshot
Feature-Model-Guided Online Learning for Self-Adaptive Systems
inferredcites →https://doi.org/10.5555/1953048.2078195openalex-snapshot
Scikit-learn: Machine Learning in Python
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Optimized automated analysis using AutoGluon-driven deep learning for advancing self-adaptive systems
inferred← citeshttps://doi.org/10.1007/s12530-026-09822-0openalex-snapshot
An automated MAPE-K analyzer based on a GAN-AutoML approach
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A neuro-fuzzy approach for efficient adaptation in distributed IoT systems: enhancing concurrency and computational efficiency
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Comparison of AutoML frameworks for effective analysis in MAPE-K self adaptive systems
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Proactive self-exploration: Leveraging information sharing and predictive modelling for anticipating and countering adversaries
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Deep Learning for Self-Adaptive System Analyzer Improvement
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A Survey on Self-adaptation Planning Optimization Techniques
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Improving Self-Adaptation by Combining MAPE-K, Machine and Deep Learning
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Design and implementation of adaptive architecture for complex algorithms
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Using Genetic Programming to Build Self-Adaptivity into Software-Defined Networks
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Towards a Research Agenda for Understanding and Managing Uncertainty in Self-Adaptive Systems
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Joint Learning: A Pattern for Reliable and Efficient Decision-Making in Self-Adaptive Internet of Things
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Dealing with Drift of Adaptation Spaces in Learning-based Self-Adaptive Systems Using Lifelong Self-Adaptation
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Secure Collaborative Learning for Self-Adaptive Systems on Connected Autonomous Vehicles
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Edge-Adaptive Dynamic Scalable Convolution for Efficient Remote Mobile Pathology Analysis
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Efficient Self-Adaptation through Explanation-Driven White-Box Optimization
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Reflection, Quick Reference Guide and Future Outlook to Autonomous and Adaptive Systems
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RS-DRL: Managing Uncertainty in Self-Adaptive Systems Based on a Novel Continuous Deep Reinforcement Learning Method
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A Systematic Review on the Applications of Uppaal
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