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Author: Wael Kessentini
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Successful software products are evolved by introducing continuous changes at different levels. Thus, software industry is actively recruiting software engineers, not to create new software systems, but to evolve and maintain existing ones. Such evolution and maintenance tasks are tedious and time consuming. Thus, there is an urgent need to find better ways to evolve software systems and consequently, improve developers' productivity. Like the source code, the design is subject to evolution due to changing requirements and technological constraints. Model-Driven Software Evolution is concerned with the changes related to the design of software systems, from initial development to maintenance. In model driven development, the evolution of metamodels may break the relationships to dependent artifacts like models, transformation rules and OCL constraints. While several coevolution studies are proposed, most of them are providing either a manual or semi-automated support based on pre-defined templates of evolution scenarios. In addition to be pre-defined, these templates are specific to the artifact to co-evolve with the metamodel. The main objective of our research is to propose a generic search-based framework for the automated recommendation of coevolution strategies without using pre-defined templates for specific metamodel changes or artifact types. For an artifact to co-evolve, the goal is to produce a new version that conforms to the new version of the metamodel. To this end, we view the co-evolution as a multi-objective optimization problem, and guide the search for solutions by three objectives, which aims at minimizing the violation of the structure of the revised metamodel, the number of changes applied to the initial artifact, and the loss of information. Then, the framework is able to recommend an appropriate subset of co-evolution solutions, with the possibility of integrating the user in the loop to provide feedback and update the recommended changes. We validated our generic framework using three metamodel co-evolution cases, models, transformation rules, and OCL constraints, on sets of real-world data. The evaluation results show that our approach is effective in terms of correctness and usefulness as compared to the state-of-the-art co-evolution approaches.
Author: Wael Kessentini
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Successful software products are evolved by introducing continuous changes at different levels. Thus, software industry is actively recruiting software engineers, not to create new software systems, but to evolve and maintain existing ones. Such evolution and maintenance tasks are tedious and time consuming. Thus, there is an urgent need to find better ways to evolve software systems and consequently, improve developers' productivity. Like the source code, the design is subject to evolution due to changing requirements and technological constraints. Model-Driven Software Evolution is concerned with the changes related to the design of software systems, from initial development to maintenance. In model driven development, the evolution of metamodels may break the relationships to dependent artifacts like models, transformation rules and OCL constraints. While several coevolution studies are proposed, most of them are providing either a manual or semi-automated support based on pre-defined templates of evolution scenarios. In addition to be pre-defined, these templates are specific to the artifact to co-evolve with the metamodel. The main objective of our research is to propose a generic search-based framework for the automated recommendation of coevolution strategies without using pre-defined templates for specific metamodel changes or artifact types. For an artifact to co-evolve, the goal is to produce a new version that conforms to the new version of the metamodel. To this end, we view the co-evolution as a multi-objective optimization problem, and guide the search for solutions by three objectives, which aims at minimizing the violation of the structure of the revised metamodel, the number of changes applied to the initial artifact, and the loss of information. Then, the framework is able to recommend an appropriate subset of co-evolution solutions, with the possibility of integrating the user in the loop to provide feedback and update the recommended changes. We validated our generic framework using three metamodel co-evolution cases, models, transformation rules, and OCL constraints, on sets of real-world data. The evaluation results show that our approach is effective in terms of correctness and usefulness as compared to the state-of-the-art co-evolution approaches.
Author: Steffen Kruse
Publisher: BoD – Books on Demand
ISBN: 3738628940
Category : Computers
Languages : en
Pages : 278
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Book Description
Complexity is an essential property of software systems that increases in a non-linear fashion with the size of the software system. In software engineering, Model Driven Engineering (MDE) aims to alleviate this complexity by utilising models and modelling activities to raise the level of abstraction and to automate the production of artefacts. One specialised technique with this purpose is the model transformation, which allows the automated creation and modification of output models based on input models. As models and model transformations are used in a productive capacity, they underlie the same evolutionary pressure that conventionally build software systems do. Here the tight coupling between model transformations and metamodels becomes problematic, as changing the one often results in the need to check and adapt the other accordingly. This thesis presents an operator-based, stepwise approach to support software architects in the co-evolution of metamodels and model transformations. The approach allows the description of changes done to a metamodel and the automatic or semi-automatic resolution of the impact on related model transformations. Overall the effort needed for co-evolution is reduced.
Author: Philippe Desfray
Publisher: Springer
ISBN: 331927869X
Category : Computers
Languages : en
Pages : 447
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Book Description
This book constitutes thoroughly revised and selected papers from the Third International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2015, held in Angers, France, in February 2015. The 25 thoroughly revised and extended papers presented in this volume were carefully reviewed and selected from 94 submissions. They are organized in topical sections named: invited papers; modeling languages, tools and architectures; methodologies, processes and platforms; applications and software development.
Author: Burger, Erik
Publisher: KIT Scientific Publishing
ISBN: 3731502763
Category : Electronic computers. Computer science
Languages : en
Pages : 362
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Book Description
Modern software development faces the problem of fragmentation of information across heterogeneous artefacts in different modelling and programming languages. In this dissertation, the Vitruvius approach for view-based engineering is presented. Flexible views offer a compact definition of user-specific views on software systems, and can be defined the novel ModelJoin language. The process is supported by a change metamodel for metamodel evolution and change impact analysis.
Author: Luís Ferreira Pires
Publisher: Springer
ISBN: 3319947648
Category : Computers
Languages : en
Pages : 519
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Book Description
This book constitutes thoroughly revised and selected papers from the 5th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2017, held in Porto, Portugal, in February 2017. The 20 thoroughly revised and extended papers presented in this volume were carefully reviewed and selected from 91 submissions. They contribute to the development of highly relevant research trends in model-driven engineering and software development such as methodologies for MDD development and exploitation, model-based testing, model simulation, domain-specific modeling, code generation from models, new MDD tools, multi-model management, model evolution, and industrial applications of model-based methods and technologies.
Author: Slimane Hammoudi
Publisher: Springer
ISBN: 3319251562
Category : Computers
Languages : en
Pages : 205
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Book Description
This book constitutes thoroughly revised and selected papers from the Second International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2014, held in Lisbon, Portugal, in January 2014. The 10 thoroughly revised and extended papers presented in this volume were carefully reviewed and selected from 88 submissions. They are organized in topical sections named: invited papers; modeling languages, tools and architectures; and methodologies, processes and platforms.
Author: Marco Brambilla
Publisher: Springer Nature
ISBN: 3031025466
Category : Technology & Engineering
Languages : en
Pages : 175
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Book Description
This book discusses how model-based approaches can improve the daily practice of software professionals. This is known as Model-Driven Software Engineering (MDSE) or, simply, Model-Driven Engineering (MDE). MDSE practices have proved to increase efficiency and effectiveness in software development, as demonstrated by various quantitative and qualitative studies. MDSE adoption in the software industry is foreseen to grow exponentially in the near future, e.g., due to the convergence of software development and business analysis. The aim of this book is to provide you with an agile and flexible tool to introduce you to the MDSE world, thus allowing you to quickly understand its basic principles and techniques and to choose the right set of MDSE instruments for your needs so that you can start to benefit from MDSE right away. The book is organized into two main parts. The first part discusses the foundations of MDSE in terms of basic concepts (i.e., models and transformations), driving principles, application scenarios and current standards, like the well-known MDA initiative proposed by OMG (Object Management Group) as well as the practices on how to integrate MDSE in existing development processes. The second part deals with the technical aspects of MDSE, spanning from the basics on when and how to build a domain-specific modeling language, to the description of Model-to-Text and Model-to-Model transformations, and the tools that support the management of MDSE projects. The book is targeted to a diverse set of readers, spanning: professionals, CTOs, CIOs, and team managers that need to have a bird's eye vision on the matter, so as to take the appropriate decisions when it comes to choosing the best development techniques for their company or team; software analysts, developers, or designers that expect to use MDSE for improving everyday work productivity, either by applying the basic modeling techniques and notations or by defining new domain-specific modeling languages and applying end-to-end MDSE practices in the software factory; and academic teachers and students to address undergrad and postgrad courses on MDSE. In addition to the contents of the book, more resources are provided on the book's website, including the examples presented in the book. Table of Contents: Introduction / MDSE Principles / MDSE Use Cases / Model-Driven Architecture (MDA) / Integration of MDSE in your Development Process / Modeling Languages at a Glance / Developing your Own Modeling Language / Model-to-Model Transformations / Model-to-Text Transformations / Managing Models / Summary
Author: Díaz, Vicente García
Publisher: IGI Global
ISBN: 1466644958
Category : Computers
Languages : en
Pages : 426
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Book Description
As organizations and research institutions continue to emphasize model-driven engineering (MDE) as a first-class approach in the software development process of complex systems, the utilization of software in multiple domains and professional networks is becoming increasingly vital. Advances and Applications in Model-Driven Engineering explores this relatively new approach in software development that can increase the level of abstraction of development of tasks. This publication covers the issues of bridging the gaps between various disciplines within software engineering and computer science. Professionals, researchers, and students will discover the most current tools and techniques available in the field to maximize efficiency of model-driven software development.
Author: Ana Moreira
Publisher: Springer
ISBN: 3642415334
Category : Computers
Languages : en
Pages : 815
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Book Description
This book constitutes the refereed proceedings of the 16th International Conference on Model Driven Engineering Languages and Systems, MODELS 2013, held in Miami, FL, USA, in September/October 2013. The 47 full papers presented in this volume were carefully reviewed and selected from a total of 180 submissions. They are organized in topical sections named: tool support; dependability; comprehensibility; testing; evolution; verification; product lines; semantics; domain-specific modeling languages; models@RT; design and architecture; model transformation; model analysis; and system synthesis.
Author: Krzysztof Czarnecki
Publisher: Springer Science & Business Media
ISBN: 3540878742
Category : Computers
Languages : en
Pages : 938
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Book Description
This book constitutes the refereed proceedings of the 11th International Conference on Model Driven Engineering Languages and Systems, MoDELS 2008, held in Toulouse, France, during September 28-October 3, 2008. The 58 revised full papers presented were carefully reviewed and selected from 271 submissions. The book also contains three keynote speeches and contributions to workshops, symposia, tutorials and panels at the conference. The papers are organized in topical sections on Model Transformation: Foundations; Requirements Modeling; Domain-Specific Modeling; Model Transformation: Techniques, Composition and Analysis of Behavioral Models; Model Comprehension; Model Management; Behavioral Conformance and Refinement; Metamodeling and Modularity; Constraints; Model Analysis; Service-Oriented Architectures; Adaptive and Autonomic Systems; Empirical Studies; Evolution and Reverse Engineering; Modeling Language Semantics; Dependability Analysis and Testing; Aspect-Oriented Modeling; Structural Modeling;and Embedded Systems.
