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Software-as-a-Graph: When Does Graph Learning Improve Cascade-Impact Ranking in Publish–Subscribe Systems?

https://doi.org/10.2139/ssrn.7607638
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inferredcites →https://doi.org/10.1002/widm.1507openalex-snapshot
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inferredcites →https://doi.org/10.1007/3-540-48249-0_13openalex-snapshot
Hierarchically Performed Hazard Origin and Propagation Studies
inferredcites →https://doi.org/10.1007/978-1-4899-4541-9openalex-snapshot
An Introduction to the Bootstrap
inferredcites →https://doi.org/10.1007/978-3-319-18087-8openalex-snapshot
Design and Analysis of Simulation Experiments
inferredcites →https://doi.org/10.1007/978-3-319-67425-4_12openalex-snapshot
Microservices: Yesterday, Today, and Tomorrow
inferredcites →https://doi.org/10.1007/978-3-540-73551-9_10openalex-snapshot
A Modeling Approach to Analyze the Impact of Error Propagation on Reliability of Component-Based Systems
inferredcites →https://doi.org/10.1016/j.jss.2008.03.066openalex-snapshot
The Palladio component model for model-driven performance prediction
inferredcites →https://doi.org/10.1016/j.jss.2014.12.027openalex-snapshot
A systematic mapping study on technical debt and its management
inferredcites →https://doi.org/10.1016/j.neucom.2020.07.028openalex-snapshot
InfGCN: Identifying influential nodes in complex networks with graph convolutional networks
inferredcites →https://doi.org/10.1016/j.patter.2023.100804openalex-snapshot
Leakage and the reproducibility crisis in machine-learning-based science
inferredcites →https://doi.org/10.1016/s0166-5316(01)00034-7openalex-snapshot
Architecture-based approach to reliability assessment of software systems
inferredcites →https://doi.org/10.1016/s0169-7552(98)00110-xopenalex-snapshot
The anatomy of a large-scale hypertextual Web search engine
inferredcites →https://doi.org/10.1023/a:1024068626366openalex-snapshot
Inference for the Generalization Error
inferredcites →https://doi.org/10.1038/35019019openalex-snapshot
Error and attack tolerance of complex networks
inferredcites →https://doi.org/10.1038/nature08932openalex-snapshot
Catastrophic cascade of failures in interdependent networks
inferredcites →https://doi.org/10.1038/nphys1746openalex-snapshot
Identification of influential spreaders in complex networks
inferredcites →https://doi.org/10.1038/s42256-020-00257-zopenalex-snapshot
Shortcut learning in deep neural networks
inferredcites →https://doi.org/10.1038/s42256-020-0177-2openalex-snapshot
Finding key players in complex networks through deep reinforcement learning
inferredcites →https://doi.org/10.1057/jos.2012.20openalex-snapshot
Verification and validation of simulation models
inferredcites →https://doi.org/10.1080/0022250x.2001.9990249openalex-snapshot
A faster algorithm for betweenness centrality*
inferredcites →https://doi.org/10.1093/acprof:oso/9780199206650.001.0001openalex-snapshot
Networks: An Introduction
inferredcites →https://doi.org/10.1109/32.295895openalex-snapshot
A metrics suite for object oriented design
inferredcites →https://doi.org/10.1109/esem.2011.30openalex-snapshot
Network Versus Code Metrics to Predict Defects: A Replication Study
inferredcites →https://doi.org/10.1109/issre.2005.18openalex-snapshot
Error Propagation in the Reliability Analysis of Component Based Systems
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RouteNet: Leveraging Graph Neural Networks for Network Modeling and Optimization in SDN
inferredcites →https://doi.org/10.1109/metric.2004.1357923openalex-snapshot
Error propagation in software architectures
inferredcites →https://doi.org/10.1109/ms.2016.60openalex-snapshot
Chaos Engineering
inferredcites →https://doi.org/10.1109/ms.2018.2141031openalex-snapshot
On the Definition of Microservice Bad Smells
inferredcites →https://doi.org/10.1109/tc.2004.1275294openalex-snapshot
EPIC: profiling the propagation and effect of data errors in software
inferredcites →https://doi.org/10.1109/tdsc.2004.2openalex-snapshot
Basic concepts and taxonomy of dependable and secure computing
inferredcites →https://doi.org/10.1109/tr.2014.2370891openalex-snapshot
A Learning-to-Rank Approach to Software Defect Prediction
inferredcites →https://doi.org/10.1109/tse.1976.233837openalex-snapshot
A Complexity Measure
inferredcites →https://doi.org/10.1109/tse.1980.234477openalex-snapshot
A User-Oriented Software Reliability Model
inferredcites →https://doi.org/10.1109/tse.2002.1010058openalex-snapshot
A methodology for architecture-level reliability risk analysis
inferredcites →https://doi.org/10.1109/tse.2018.2887384openalex-snapshot
Fault Analysis and Debugging of Microservice Systems: Industrial Survey, Benchmark System, and Empirical Study
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Robot Operating System 2: Design, architecture, and uses in the wild
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Predicting defects using network analysis on dependency graphs
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Foundations for the study of software architecture
inferredcites →https://doi.org/10.1145/2668930.2688047openalex-snapshot
Enhancing Performance Prediction Robustness by Combining Analytical Modeling and Machine Learning
inferredcites →https://doi.org/10.1145/3106237.3106256openalex-snapshot
Easy over hard: a case study on deep learning
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Are deep neural networks the best choice for modeling source code?
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Automatically measuring the maintainability of service- and microservice-based systems
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500+ times faster than deep learning
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Tracking and Controlling Microservice Dependencies
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Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks
inferredcites →https://doi.org/10.1145/3381831openalex-snapshot
Green AI
inferredcites →https://doi.org/10.1145/3442381.3449905openalex-snapshot
MicroRank: End-to-End Latency Issue Localization with Extended Spectrum Analysis in Microservice Environments
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Graph Neural Networks for Fast Node Ranking Approximation
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Metastable failures in distributed systems
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Characterizing Microservice Dependency and Performance
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Service-Level Fault Injection Testing
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Utilizing Graph Neural Networks for Effective Link Prediction in Microservice Architectures
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Failure Diagnosis in Microservice Systems: A Comprehensive Survey and Analysis
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Individual Comparisons by Ranking Methods
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PowerGraph: A power grid benchmark dataset for graph neural networks
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