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Model Driven Engineering Of Adaptation Engines For Self Adaptive Software


Model Driven Engineering Of Adaptation Engines For Self Adaptive Software
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Model Driven Engineering Of Adaptation Engines For Self Adaptive Software


Model Driven Engineering Of Adaptation Engines For Self Adaptive Software
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Author : Thomas Vogel
language : en
Publisher: Universitätsverlag Potsdam
Release Date : 2013

Model Driven Engineering Of Adaptation Engines For Self Adaptive Software written by Thomas Vogel and has been published by Universitätsverlag Potsdam this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Computers categories.


The development of self-adaptive software requires the engineering of an adaptation engine that controls and adapts the underlying adaptable software by means of feedback loops. The adaptation engine often describes the adaptation by using runtime models representing relevant aspects of the adaptable software and particular activities such as analysis and planning that operate on these runtime models. To systematically address the interplay between runtime models and adaptation activities in adaptation engines, runtime megamodels have been proposed for self-adaptive software. A runtime megamodel is a specific runtime model whose elements are runtime models and adaptation activities. Thus, a megamodel captures the interplay between multiple models and between models and activities as well as the activation of the activities. In this article, we go one step further and present a modeling language for ExecUtable RuntimE MegAmodels (EUREMA) that considerably eases the development of adaptation engines by following a model-driven engineering approach. We provide a domain-specific modeling language and a runtime interpreter for adaptation engines, in particular for feedback loops. Megamodels are kept explicit and alive at runtime and by interpreting them, they are directly executed to run feedback loops. Additionally, they can be dynamically adjusted to adapt feedback loops. Thus, EUREMA supports development by making feedback loops, their runtime models, and adaptation activities explicit at a higher level of abstraction. Moreover, it enables complex solutions where multiple feedback loops interact or even operate on top of each other. Finally, it leverages the co-existence of self-adaptation and off-line adaptation for evolution.



Formal Methods For Model Driven Engineering


Formal Methods For Model Driven Engineering
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Author : Marco Bernardo
language : en
Publisher: Springer
Release Date : 2012-06-26

Formal Methods For Model Driven Engineering written by Marco Bernardo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-26 with Computers categories.


This book presents 11 tutorial lectures by leading researchers given at the 12th edition of the International School on Formal Methods for the Design of Computer, Communication and Software Systems, SFM 2012, held in Bertinoro, Italy, in June 2012. SFM 2012 was devoted to model-driven engineering and covered several topics including modeling languages; model transformations, functional and performance modeling and analysis; and model evolution management.



Software Engineering For Self Adaptive Systems Iii Assurances


Software Engineering For Self Adaptive Systems Iii Assurances
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Author : Rogério de Lemos
language : en
Publisher: Springer
Release Date : 2018-01-16

Software Engineering For Self Adaptive Systems Iii Assurances written by Rogério de Lemos and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-16 with Computers categories.


A major challenge for modern software systems is to become more cost-effective, while being versatile, flexible, resilient, energy-efficient, customizable, and configurable when reacting to run-time changes that may occur within the system itself, its environment or requirements. One of the most promising approaches to achieving such properties is to equip the software system with self-adaptation capabilities. Despite recent advances in this area, one key aspect that remains to be tackled in depth is the provision of assurances. Originating from a Dagstuhl seminar held in December 2013, this book constitutes the third volume in the series “Software Engineering for Self-Adaptive Systems”, and looks specifically into the provision of assurances. Opening with an overview chapter on Research Challenges, the book presents 13 further chapters written and carefully reviewed by internationally leading researchers in the field. The book is divided into topical sections on research challenges, evaluation, integration and coordination, and reference architectures and platforms.



Model Driven Engineering Of Self Adaptive Software


Model Driven Engineering Of Self Adaptive Software
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Author : Thomas Vogel
language : en
Publisher:
Release Date : 2018

Model Driven Engineering Of Self Adaptive Software written by Thomas Vogel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.


The development of self-adaptive software requires the engineering of an adaptation engine that controls the underlying adaptable software by a feedback loop. State-of-the-art approaches prescribe the feedback loop in terms of numbers, how the activities (e.g., monitor, analyze, plan, and execute (MAPE)) and the knowledge are structured to a feedback loop, and the type of knowledge. Moreover, the feedback loop is usually hidden in the implementation or framework and therefore not visible in the architectural design. Additionally, an adaptation engine often employs runtime models that either represent the adaptable software or capture strategic knowledge such as reconfiguration strategies. State-of-the-art approaches do not systematically address the interplay of such runtime models, which would otherwise allow developers to freely design the entire feedback loop. This thesis presents ExecUtable RuntimE MegAmodels (EUREMA), an integrated model-driven engineering (MDE) solution that rigorously uses models for engineering feedback ...



Software Engineering Research Management And Applications


Software Engineering Research Management And Applications
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Author : Roger Lee
language : en
Publisher: Springer
Release Date : 2014-11-01

Software Engineering Research Management And Applications written by Roger Lee and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-01 with Technology & Engineering categories.


This edited book presents scientific results of the 12th International Conference on Software Engineering, Artificial Intelligence Research, Management and Applications (SERA 2014) held on August 31 – September 4, 2014 in Kitakyushu, Japan. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. This publication captures 17 of the conference’s most promising papers.



Engineering Computational Emotion A Reference Model For Emotion In Artificial Systems


Engineering Computational Emotion A Reference Model For Emotion In Artificial Systems
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Author : M. Guadalupe Sánchez-Escribano
language : en
Publisher: Springer
Release Date : 2017-06-17

Engineering Computational Emotion A Reference Model For Emotion In Artificial Systems written by M. Guadalupe Sánchez-Escribano and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-17 with Technology & Engineering categories.


This book provides a new perspective on emotion in artificial systems. It presents an insightful explanation of how emotion might emerge deep inside the systems, and emotional behaviour could be seen as a consequence of their internal management. The final approach attempts to account for a range of events associated with emotion, from functional and behavioural features to aspects related to the dynamics and the development of feeling. The book provides a theoretical foundation for engineering and designing computational emotion as a framework for developing future adaptive systems. It includes a painstaking analysis of the rationales for the features of the final approach, including aspects from the fields of Artificial Intelligence, Psychology, the Cognitive Sciences and Model-based Systems. Synthesizing knowledge from a variety of disciplines, it ultimately presents a model conceptualization following the perspectives of Engineering and the Cognitive Sciences.



Model Driven Engineering Languages And Systems


Model Driven Engineering Languages And Systems
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Author : Juergen Dingel
language : en
Publisher: Springer
Release Date : 2014-09-19

Model Driven Engineering Languages And Systems written by Juergen Dingel and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-19 with Computers categories.


This book constitutes the refereed proceedings of the 17th International Conference on Model Driven Engineering Languages and Systems, MODELS 2014, held in Valencia, Spain, in September/October 2014. The 41 full papers presented in this volume were carefully reviewed and selected from a total of 126 submissions. The scope of the conference series is broad, encompassing modeling languages, methods, tools, and applications considered from theoretical and practical angles and in academic and industrial settings. The papers report on the use of modeling in a wide range of cloud, mobile, and web computing, model transformation behavioral modeling, MDE: past, present, future, formal semantics, specification, and verification, models at runtime, feature and variability modeling, composition and adaptation, practices and experience, modeling for analysis, pragmatics, model extraction, manipulation and persistence, querying, and reasoning.



An Introduction To Self Adaptive Systems


An Introduction To Self Adaptive Systems
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Author : Danny Weyns
language : en
Publisher: John Wiley & Sons
Release Date : 2020-10-19

An Introduction To Self Adaptive Systems written by Danny Weyns and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-19 with Technology & Engineering categories.


A concise and practical introduction to the foundations and engineering principles of self-adaptation Though it has recently gained significant momentum, the topic of self-adaptation remains largely under-addressed in academic and technical literature. This book changes that. Using a systematic and holistic approach, An Introduction to Self-adaptive Systems: A Contemporary Software Engineering Perspective provides readers with an accessible set of basic principles, engineering foundations, and applications of self-adaptation in software-intensive systems. It places self-adaptation in the context of techniques like uncertainty management, feedback control, online reasoning, and machine learning while acknowledging the growing consensus in the software engineering community that self-adaptation will be a crucial enabling feature in tackling the challenges of new, emerging, and future systems. The author combines cutting-edge technical research with basic principles and real-world insights to create a practical and strategically effective guide to self-adaptation. He includes features such as: An analysis of the foundational engineering principles and applications of self-adaptation in different domains, including the Internet-of-Things, cloud computing, and cyber-physical systems End-of-chapter exercises at four different levels of complexity and difficulty An accompanying author-hosted website with slides, selected exercises and solutions, models, and code Perfect for researchers, students, teachers, industry leaders, and practitioners in fields that directly or peripherally involve software engineering, as well as those in academia involved in a class on self-adaptivity, this book belongs on the shelves of anyone with an interest in the future of software and its engineering.



Modelling Foundations And Applications


Modelling Foundations And Applications
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Author : Jordi Cabot
language : en
Publisher: Springer
Release Date : 2014-07-10

Modelling Foundations And Applications written by Jordi Cabot and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-10 with Computers categories.


This book constitutes the proceedings of the 10th European Conference on Modelling Foundations and Applications, ECMFA 2014, held as part of STAF 2014, in York, UK, in July 2014. The 14 foundation track papers and the 3 applications track papers presented in this volume were carefully reviewed and selected from 58 submissions. They are on all aspects of MDE, including topics such as model provenance; model transformations and code generation; model synthesis; model-driven testing; formal modeling approaches; business modeling; and usability of models.



Model Driven Engineering Languages And Systems


Model Driven Engineering Languages And Systems
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Author : Ana Moreira
language : en
Publisher: Springer
Release Date : 2013-09-20

Model Driven Engineering Languages And Systems written by Ana Moreira and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-20 with Computers categories.


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.