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Dealing with Drift of Adaptation Spaces in Learning-based Self-Adaptive Systems Using Lifelong Self-Adaptation

https://doi.org/10.1145/3636428
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Self‐learning and self‐adaptive resource allocation for cloud‐based software services
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Information Criteria and Statistical Modeling
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Applying Architecture-Based Adaptation to Automate the Management of Internet-of-Things
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Online Reinforcement Learning for Self-adaptive Information Systems
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Triggering Proactive Business Process Adaptations via Online Reinforcement Learning
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Measuring Convergence Inertia: Online Learning in Self-adaptive Systems with Context Shifts
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An Overview of Concept Drift Applications
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Mann–Whitney U Test
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Software Engineering for Self-Adaptive Systems: A Research Roadmap
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Adaptive Learning from Evolving Data Streams
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Experimentation in Software Engineering
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Software Engineering for Self-Adaptive Systems: A Second Research Roadmap
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Uncertainty in Self-Adaptive Software Systems
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Design Science Methodology for Information Systems and Software Engineering
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Uppaal SMC tutorial
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Characterizing concept drift
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Sliced and Radon Wasserstein Barycenters of Measures
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Lifelong robot learning
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Assured automatic dynamic reconfiguration of business processes
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Reducing large adaptation spaces in self-adaptive systems using classical machine learning
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Chemical gas sensor drift compensation using classifier ensembles
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K-SVCR. A support vector machine for multi-class classification
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Driftage: a multi-agent system framework for concept drift detection
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Pattern Recognition and Machine Learning
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The expectation-maximization algorithm
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Comparison of Approaches for Self-Improvement in Self-Adaptive Systems
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Adding Self-Improvement to an Autonomic Traffic Management System
inferredcites →https://doi.org/10.1109/icac.2018.00031openalex-snapshot
Training Prediction Models for Rule-Based Self-Adaptive Systems
inferredcites →https://doi.org/10.1109/icse-seip.2019.00042openalex-snapshot
Software Engineering for Machine Learning: A Case Study
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Introducing a New Benchmarked Dataset for Activity Monitoring
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Stochastic geometry and random graphs for the analysis and design of wireless networks
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The vision of autonomic computing
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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.2019.00029openalex-snapshot
All Versus One: An Empirical Comparison on Retrained and Incremental Machine Learning for Modeling Performance of Adaptable Software
inferredcites →https://doi.org/10.1109/tkde.2010.121openalex-snapshot
Experience Transfer for the Configuration Tuning in Large-Scale Computing Systems
inferredcites →https://doi.org/10.1109/tkde.2010.61openalex-snapshot
Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints
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/10.1137/1.9780898719765openalex-snapshot
Statistical Case Studies for Industrial Process Improvement
inferredcites →https://doi.org/10.1137/1.9781611972771.42openalex-snapshot
Learning from Time-Changing Data with Adaptive Windowing
inferredcites →https://doi.org/10.1145/1639562.1639581openalex-snapshot
Experience transfer for the configuration tuning in large scale computing systems
inferredcites →https://doi.org/10.1145/2168260.2168268openalex-snapshot
FORMS
inferredcites →https://doi.org/10.1145/2523813openalex-snapshot
A survey on concept drift adaptation
inferredcites →https://doi.org/10.1145/2593929.2593944openalex-snapshot
ActivFORMS: active formal models for self-adaptation
inferredcites →https://doi.org/10.1145/2660267.2660329openalex-snapshot
From Patches to Honey-Patches
inferredcites →https://doi.org/10.1145/2872427.2883086openalex-snapshot
Mining Aspect-Specific Opinion using a Holistic Lifelong Topic Model
inferredcites →https://doi.org/10.1145/2939672.2939835openalex-snapshot
Learning Cumulatively to Become More Knowledgeable
inferredcites →https://doi.org/10.1145/3191513openalex-snapshot
Never-ending learning
inferredcites →https://doi.org/10.1145/3194133.3194142openalex-snapshot
DeSiRE
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/10.1145/3236024.3236074openalex-snapshot
Learning to sample: exploiting similarities across environments to learn performance models for configurable systems
inferredcites →https://doi.org/10.1145/3469440openalex-snapshot
Applying Machine Learning in Self-adaptive Systems
inferredcites →https://doi.org/10.1145/3474369.3486864openalex-snapshot
INSOMNIA
inferredcites →https://doi.org/10.1145/3487921openalex-snapshot
Uncertainty in Self-adaptive Systems: A Research Community Perspective
inferredcites →https://doi.org/10.1145/3522585openalex-snapshot
ActivFORMS: A Formally Founded Model-based Approach to Engineer Self-adaptive Systems
inferredcites →https://doi.org/10.1145/3524844.3528052openalex-snapshot
Lifelong self-adaptation
inferredcites →https://doi.org/10.1145/3530192openalex-snapshot
Deep Learning for Effective and Efficient Reduction of Large Adaptation Spaces in Self-adaptive Systems
inferredcites →https://doi.org/10.1145/3568680openalex-snapshot
Self-aware Optimization of Adaptation Planning Strategies
inferredcites →https://doi.org/10.1201/9780203753064openalex-snapshot
Goodness-of-Fit Techniques
inferredcites →https://doi.org/10.1201/b10282openalex-snapshot
Computer Network Time Synchronization
inferredcites →https://doi.org/10.1214/aos/1176344136openalex-snapshot
Estimating the Dimension of a Model
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.442openalex-snapshot
Beyond Accuracy: Behavioral Testing of NLP Models with CheckList
inferredcites →https://doi.org/10.18653/v1/d16-1022openalex-snapshot
Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets
inferredcites →https://doi.org/10.21428/594757dbopenalex-snapshot
Proceedings of the Canadian Conference on Artificial Intelligence
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Practical Non-Parametric Statistics.
inferredcites →https://doi.org/10.3233/idt-190160openalex-snapshot
Software engineering challenges for machine learning applications: A literature review
inferredcites →https://doi.org/10.3233/jid-220003openalex-snapshot
The vision of self-evolving computing systems
inferredcites →https://doi.org/10.5860/choice.48-4538openalex-snapshot
Research design and statistical analysis

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
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Dynamic Neuroplastic Networks for Financial Decision Making: A Self-Adaptive Approach for Mitigating Catastrophic Forgetting in Continual Learning
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A Layered Control Loop Architecture for Transparent Self-Adaptation
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Self-Evolving AI Systems: A Reinforcement Learning Framework for Autonomous Model Adaptation
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Deep Anomaly Identification for Unattended Photovoltaic Monitoring Streams via Drift-Aware Representation Learning
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Generative AI for Self-Adaptive Systems: State of the Art and Research Roadmap
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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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Verify, Augment, Improve: Self-Adaptation Repair via Automated Knowledge Augmentation from Mistakes
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Regularization-Enhanced Federated Class-Incremental Learning with Generative Replay for Smart Edge
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Digital Twin-Based Self-Adaptation: Value-at-Risk and Learning-to-Synchronize
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