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Software Architecture

Overview of attention for book
Cover of 'Software Architecture'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Semiautomatic Approach to Identify Architectural Technical Debt from Heterogeneous Artifacts
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    Chapter 2 Big Data and Machine Intelligence in Software Platforms for Smart Cities
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    Chapter 3 Decentralized Self-adaptation in Large-Scaled Systems of Systems
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    Chapter 4 Systematic Approach to Engineer Decentralized Self-adaptive Systems
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    Chapter 5 Voyager : Software Architecture Trade-off Explorer
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    Chapter 6 A Decision Support System for Pattern-Driven Software Architecture
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    Chapter 7 Gropius — A Tool for Managing Cross-component Issues
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    Chapter 8 SecoArc: A Framework for Architecting Healthy Software Ecosystems
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    Chapter 9 SQuAT-Vis: Visualization and Interaction in Software Architecture Optimization
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    Chapter 10 Girl-Friendly Computer Science Classroom: Czechitas Experience Report
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    Chapter 11 Mining Gender Bias: A Preliminary Study on Implicit Biases and Gender Identity in the Department of Computer Science at the Technical University of Munich
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    Chapter 12 State of the Practice Survey: Predicting the Influence of AI Adoption on System Software Architecture in Traditional Embedded Systems
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    Chapter 13 Composition Algorithm Adaptation in Service Oriented Systems
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    Chapter 14 A Statistical Approach for Context-Awareness of Mobile Applications
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    Chapter 15 A Reference Architecture for Personalized and Self-adaptive e-Health Apps
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    Chapter 16 Collecting Service-Based Maintainability Metrics from RESTful API Descriptions: Static Analysis and Threshold Derivation
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    Chapter 17 Optimizing Parametric Dependencies for Incremental Performance Model Extraction
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    Chapter 18 Data Pipeline Architecture for Serverless Platform
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    Chapter 19 Examination and Comparison of TOSCA Orchestration Tools
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    Chapter 20 Auto-scaling Using TOSCA Infrastructure as Code
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    Chapter 21 Towards Coordinated Autoscaling and Application Brownout at the Orchestrator Level
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    Chapter 22 Measurement-Based Timing Analysis on Heterogeneous MPSoCs: A Practical Approach
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    Chapter 23 Awas: AADL Information Flow and Error Propagation Analysis Framework
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    Chapter 24 Formal Verification of Run-to-Completion Style Statecharts Using Event-B
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    Chapter 25 A Simulator Coupling Architecture for the Creation of Digital Twins
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    Chapter 26 Integrating Runtime Verification into an Automated UAS Traffic Management System
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    Chapter 27 Dependability of Model-Driven Executable DSLs
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    Chapter 28 Defining a Formal Semantic for Parallel Patterns in the Palladio Component Model Using Hierarchical Queuing Petri Nets
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    Chapter 29 Model-Based Simulation at Runtime with Abstract State Machines
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    Chapter 30 Merging Railway Standard Notations in a Formal DSL-Based Framework
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    Chapter 31 Continuous Formal Verification of Microservice-Based Process Flows
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    Chapter 32 Defining Design Patterns for IoT APIs
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    Chapter 33 Access Control for Smart Manufacturing Systems
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    Chapter 34 Industrie 4.0 Virtual Automation Bus Architecture
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    Chapter 35 Enabling Industry 4.0 Service-Oriented Architecture Through Digital Twins
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    Chapter 36 System Health Indicators in Mixed Criticality E/E Systems in Automated Driving Context
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    Chapter 37 How to Conduct Experiments with a Real Car? Experiences and Practical Guidelines
  39. Altmetric Badge
    Chapter 38 Towards a Systems Engineering Based Automotive Product Engineering Process
  40. Altmetric Badge
    Chapter 39 Development of a Virtual Simulation Environment and a Digital Twin of an Autonomous Driving Truck for a Distribution Center
Attention for Chapter 19: Examination and Comparison of TOSCA Orchestration Tools
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Chapter title
Examination and Comparison of TOSCA Orchestration Tools
Chapter number 19
Book title
Software Architecture
Published by
Springer, Cham, September 2020
DOI 10.1007/978-3-030-59155-7_19
Book ISBNs
978-3-03-059154-0, 978-3-03-059155-7
Authors

Anže Luzar, Sašo Stanovnik, Matija Cankar, Luzar, Anže, Stanovnik, Sašo, Cankar, Matija

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 18%
Student > Bachelor 1 9%
Other 1 9%
Student > Ph. D. Student 1 9%
Student > Master 1 9%
Other 0 0%
Unknown 5 45%
Readers by discipline Count As %
Computer Science 3 27%
Engineering 2 18%
Physics and Astronomy 1 9%
Unknown 5 45%