Efficiently Conducting Quality Of Service Analyses By Templating Architectural Knowledge
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Efficiently Conducting Quality Of Service Analyses By Templating Architectural Knowledge
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Author : Lehrig, Sebastian Michael
language : en
Publisher: KIT Scientific Publishing
Release Date : 2018-04-06
Efficiently Conducting Quality Of Service Analyses By Templating Architectural Knowledge written by Lehrig, Sebastian Michael and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-06 with Architects categories.
Previously, software architects were unable to effectively and efficiently apply reusable knowledge (e.g., architectural styles and patterns) to architectural analyses. This work tackles this problem with a novel method to create and apply templates for reusable knowledge. These templates capture reusable knowledge formally and can efficiently be integrated in architectural analyses.
Model Based Performance Prediction For Concurrent Software On Multicore Architectures A Simulation Based Approach
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Author : Frank, Markus Kilian
language : en
Publisher: KIT Scientific Publishing
Release Date : 2022-07-18
Model Based Performance Prediction For Concurrent Software On Multicore Architectures A Simulation Based Approach written by Frank, Markus Kilian and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-18 with Computers categories.
Die modellbasierte Performancevorhersage ist ein bekanntes Konzept zur Gewährleistung der Softwarequalität. Derzeitige Ansätze basieren auf einem Modell mit einer Metrik, was zu ungenauen Vorhersagen für moderne Architekturen führt. In dieser Arbeit wird ein Multi-Strategie-Ansatz zur Erweiterung von Performancevorhersagemodellen zur Unterstützung von Multicore-Architekturen vorgestellt, in Palladio implementiert und dadurch die Genauigkeit der Vorhersage deutlich verbessert. - Model-based performance prediction is a well-known concept to ensure the quality of software. Current approaches are based on a single-metric model, which leads to inaccurate predictions for modern architectures. This thesis presents a multi-strategies approach to extend performance prediction models to support multicore architectures. We implemented the strategies into Palladio and significantly increased the performance prediction power.
Architectural Data Flow Analysis For Detecting Violations Of Confidentiality Requirements
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Author : Seifermann, Stephan
language : en
Publisher: KIT Scientific Publishing
Release Date : 2022-12-09
Architectural Data Flow Analysis For Detecting Violations Of Confidentiality Requirements written by Seifermann, Stephan and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-09 with Computers categories.
Software vendors must consider confidentiality especially while creating software architectures because decisions made here are hard to change later. Our approach represents and analyzes data flows in software architectures. Systems specify data flows and confidentiality requirements specify limitations of data flows. Software architects use detected violations of these limitations to improve the system. We demonstrate how to integrate our approach into existing development processes.
An Architecture Based Approach For Change Impact Analysis Of Software Intensive Systems
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Author : Busch, Kiana
language : en
Publisher: KIT Scientific Publishing
Release Date : 2020-03-19
An Architecture Based Approach For Change Impact Analysis Of Software Intensive Systems written by Busch, Kiana and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-19 with Computers categories.
Qos Based Optimization Of Runtime Management Of Sensing Cloud Applications
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Author : Gotin, Manuel
language : en
Publisher: KIT Scientific Publishing
Release Date : 2022-06-30
Qos Based Optimization Of Runtime Management Of Sensing Cloud Applications written by Gotin, Manuel and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-30 with Computers categories.
IoT applications perceive and interact with the environment via smart devices and cloud services. When operating such applications one is faced with the challenge of configuring the smart devices and the cloud services in a manner, which achieves a high data quality at low operational costs. This work supports IoT operators with IoT collection strategies and cost optimization functions for data qualities, which are influenced by the interplay of smart device and cloud service configurations.
Quality Driven Reuse Of Model Based Software Architecture Elements
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Author : Busch, Axel
language : en
Publisher: KIT Scientific Publishing
Release Date : 2019-10-17
Quality Driven Reuse Of Model Based Software Architecture Elements written by Busch, Axel and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-17 with Computers categories.
A Reference Structure For Modular Model Based Analyses
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Author : Koch, Sandro Giovanni
language : en
Publisher: KIT Scientific Publishing
Release Date : 2024-04-25
A Reference Structure For Modular Model Based Analyses written by Koch, Sandro Giovanni and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-25 with categories.
In this work, the authors analysed the co-dependency between models and analyses, particularly the structure and interdependence of artefacts and the feature-based decomposition and composition of model-based analyses. Their goal is to improve the maintainability of model-based analyses. They have investigated the co-dependency of Domain-specific Modelling Languages (DSMLs) and model-based analyses regarding evolvability, understandability, and reusability.
Context Based Access Control And Attack Modelling And Analysis
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Author : Walter, Maximilian
language : en
Publisher: KIT Scientific Publishing
Release Date : 2024-07-03
Context Based Access Control And Attack Modelling And Analysis written by Walter, Maximilian and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-03 with categories.
This work introduces architectural security analyses for detecting access violations and attack paths in software architectures. It integrates access control policies and vulnerabilities, often analyzed separately, into a unified approach using software architecture models. Contributions include metamodels for access control and vulnerabilities, scenario-based analysis, and two attack analyses. Evaluation demonstrates high accuracy in identifying issues for secure system development.
A Reference Structure For Modular Metamodels Of Quality Describing Domain Specific Modeling Languages
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Author : Strittmatter, Misha
language : en
Publisher: KIT Scientific Publishing
Release Date : 2020-07-23
A Reference Structure For Modular Metamodels Of Quality Describing Domain Specific Modeling Languages written by Strittmatter, Misha and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-23 with Computers categories.
Evaluating Architectural Safeguards For Uncertain Ai Black Box Components
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Author : Scheerer, Max
language : en
Publisher: KIT Scientific Publishing
Release Date : 2023-10-23
Evaluating Architectural Safeguards For Uncertain Ai Black Box Components written by Scheerer, Max and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-23 with categories.
Although tremendous progress has been made in Artificial Intelligence (AI), it entails new challenges. The growing complexity of learning tasks requires more complex AI components, which increasingly exhibit unreliable behaviour. In this book, we present a model-driven approach to model architectural safeguards for AI components and analyse their effect on the overall system reliability.