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Specification Languages for Preserving Consistency between Models of Different Languages

Specification Languages for Preserving Consistency between Models of Different Languages
Author: Kramer, Max Emanuel
Publisher: KIT Scientific Publishing
Total Pages: 476
Release: 2019-01-30
Genre: Electronic computers. Computer science
ISBN: 3731507846

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When complex IT systems are being developed, the usage of several programming and modelling languages can lead to inconsistencies that yield faulty designs and implementations. To address this problem, this work contributes a classification of consistency preservation challenges and an approach for preserving consistency. It is formalized using set theory and monitors changes to avoid matching and diffing problems. Three new languages that follow this preservation approach are presented.


Specification Languages for Preserving Consistency Between Models of Different Languages

Specification Languages for Preserving Consistency Between Models of Different Languages
Author: Max Emanuel Kramer
Publisher:
Total Pages: 466
Release: 2020-10-09
Genre: Language Arts & Disciplines
ISBN: 9781013283581

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When complex IT systems are being developed, the usage of several programming and modelling languages can lead to inconsistencies that yield faulty designs and implementations. To address this problem, this work contributes a classification of consistency preservation challenges and an approach for preserving consistency. It is formalized using set theory and monitors changes to avoid matching and diffing problems. Three new languages that follow this preservation approach are presented. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.


Building Transformation Networks for Consistent Evolution of Interrelated Models

Building Transformation Networks for Consistent Evolution of Interrelated Models
Author: Klare, Heiko
Publisher: KIT Scientific Publishing
Total Pages: 596
Release: 2022-03-24
Genre: Computers
ISBN: 3731511320

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Complex software systems are described with multiple artifacts, such as code, design diagrams and others. Ensuring their consistency is crucial and can be automated with transformations for pairs of artifacts. We investigate how developers can combine independently developed and reusable transformations to networks that preserve consistency between more than two artifacts. We identify synchronization, compatibility and orchestration as central challenges, and we develop approaches to solve them.


Model-Driven Engineering and Software Development

Model-Driven Engineering and Software Development
Author: Slimane Hammoudi
Publisher: Springer Nature
Total Pages: 412
Release: 2020-01-03
Genre: Computers
ISBN: 303037873X

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This book constitutes thoroughly revised and selected papers from the 7th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2019, held in Prague, Czech Republic, in February 2019. The 16 thoroughly revised and extended papers presented in this volume were carefully reviewed and selected from 76 submissions. They address some of the most relevant challenges being faced by researchers and practitioners in the field of model-driven engineering and software development and cover topics like language design and tooling; programming support tools; code and text generation from models, behavior modeling and analysis; model transformations and multi-view modeling; as well as applications of MDD and its related techniques to cyber-physical systems, cyber security, IoT, autonomous vehicles and healthcare.


Implicit Incremental Model Analyses and Transformations

Implicit Incremental Model Analyses and Transformations
Author: Hinkel, Georg
Publisher: KIT Scientific Publishing
Total Pages: 498
Release: 2021-07-20
Genre: Computers
ISBN: 3731507633

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When models of a system change, analyses based on them have to be reevaluated in order for the results to stay meaningful. In many cases, the time to get updated analysis results is critical. This thesis proposes multiple, combinable approaches and a new formalism based on category theory for implicitly incremental model analyses and transformations. The advantages of the implementation are validated using seven case studies, partially drawn from the Transformation Tool Contest (TTC).


Consistent View-Based Management of Variability in Space and Time

Consistent View-Based Management of Variability in Space and Time
Author: Ananieva, Sofia
Publisher: KIT Scientific Publishing
Total Pages: 310
Release: 2022-12-06
Genre: Computers
ISBN: 3731512416

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Developing variable systems faces many challenges. Dependencies between interrelated artifacts within a product variant, such as code or diagrams, across product variants and across their revisions quickly lead to inconsistencies during evolution. This work provides a unification of common concepts and operations for variability management, identifies variability-related inconsistencies and presents an approach for view-based consistency preservation of variable systems.


Software Technologies: Applications and Foundations

Software Technologies: Applications and Foundations
Author: Manuel Mazzara
Publisher: Springer
Total Pages: 658
Release: 2018-12-06
Genre: Computers
ISBN: 3030047717

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This book contains the thoroughly refereed technical papers presented in eight workshops collocated with the International Conference on Software Technologies: Applications and Foundations, STAF 2018, held in Toulouse, France, in June 2018. The 65 full papers presented were carefully reviewed and selected from 120 submissions. The events whose papers are included in this volume are: CoSim-CPS 2018: 2nd International Workshop on Formal Co-Simulation of Cyber-Physical Systems DataMod 2018: 7th International Symposium From Data to Models and Back FMIS 2018: 7th International Workshop on Formal Methods for Interactive Systems FOCLASA 2018: 16th International Workshop on Foundations of Coordination Languages and Self-adaptative Systems GCM 2018: 9th International Workshop on Graph Computation Models MDE@DeRun 2018: 1st International Workshop on Model-Driven Engineering for Design-Runtime Interaction in Complex Systems MSE 2018: 3rd International Workshop on Microservices: Science and Engineering SecureMDE 2018: 1st International Workshop on Security for and by Model-Driven Engineering


A Reference Structure for Modular Model-based Analyses

A Reference Structure for Modular Model-based Analyses
Author: Koch, Sandro Giovanni
Publisher: KIT Scientific Publishing
Total Pages: 398
Release: 2024-04-25
Genre:
ISBN: 3731513412

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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.


Model-Based Performance Prediction for Concurrent Software on Multicore Architectures---A Simulation-Based Approach

Model-Based Performance Prediction for Concurrent Software on Multicore Architectures---A Simulation-Based Approach
Author: Frank, Markus Kilian
Publisher: KIT Scientific Publishing
Total Pages: 400
Release: 2022-07-18
Genre: Computers
ISBN: 3731511460

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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.