An Introduction to Self-adaptive Systems

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119574935
Total Pages : 291 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis An Introduction to Self-adaptive Systems by : Danny Weyns

Download or read book An Introduction to Self-adaptive Systems written by Danny Weyns and published by John Wiley & Sons. This book was released on 2020-10-07 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

An Introduction to Self-adaptive Systems

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119574943
Total Pages : 288 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis An Introduction to Self-adaptive Systems by : Danny Weyns

Download or read book An Introduction to Self-adaptive Systems written by Danny Weyns and published by John Wiley & Sons. This book was released on 2020-10-05 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Assurances for Self-Adaptive Systems

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Author :
Publisher : Springer
ISBN 13 : 3642362494
Total Pages : 349 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Assurances for Self-Adaptive Systems by : Javier Cámara

Download or read book Assurances for Self-Adaptive Systems written by Javier Cámara and published by Springer. This book was released on 2013-01-16 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increasing complexity of systems and the growing uncertainty in their operational environments have created a critical need to develop systems able to improve their operation, adapt to change, and recover from failures autonomously. This situation has led to recent advances in self-adaptive systems able to reconfigure their structure and modify their behavior at run-time to adapt to environmental changes. Despite these advances, one key aspect of self-adaptive systems that remains to be tackled in depth is "assurances": the provision of evidence that the system satisfies its stated functional and non-functional requirements during its operation in the presence of self-adaptation. This book is one of the outcomes of the ESEC/FSE 2011 Workshop on Assurances for Self-Adaptive Systems (ASAS), held in Szeged, Hungary, in September 2011. It contains extended versions of some of the papers presented during the workshop, as well as invited papers from recognized experts. The 12 refereed papers were thoroughly reviewed and selected. The book consists of four parts: formal verification, models and middleware, failure prediction, and assurance techniques.

Software Engineering for Self-Adaptive Systems

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Author :
Publisher : Springer
ISBN 13 : 3642358136
Total Pages : 402 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Software Engineering for Self-Adaptive Systems by : Rogério de Lemos

Download or read book Software Engineering for Self-Adaptive Systems written by Rogério de Lemos and published by Springer. This book was released on 2013-01-03 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although the self-adaptability of systems has been studied in a wide range of disciplines, from biology to robotics, only recently has the software engineering community recognized its key role in enabling the development of self-adaptive systems that are able to adapt to internal faults, changing requirements, and evolving environments. The 15 carefully reviewed papers included in this state-of-the-art survey were presented at the International Seminar on "Software Engineering for Self-Adaptive Systems", held in Dagstuhl Castle, Germany, in October 2010. Continuing the course of the first book of the series on "Software Engineering for Self-Adaptive Systems" the collection of papers in this second volume comprises a research roadmap accompanied by four elaborating working group papers. Next there are two parts - with three papers each - entitled "Requirements and Policies" and "Design Issues"; part four of the book contains four papers covering a wide range of "Applications".

Quality Assurance of Agent-Based and Self-Managed Systems

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Author :
Publisher : CRC Press
ISBN 13 : 1439812675
Total Pages : 172 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Quality Assurance of Agent-Based and Self-Managed Systems by : Reiner Dumke

Download or read book Quality Assurance of Agent-Based and Self-Managed Systems written by Reiner Dumke and published by CRC Press. This book was released on 2009-08-26 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: The challenges in implementing intelligent and autonomous software systems remain the development of self-adapting systems, self-healing applications, corporate global creation, and collaborated robotic teams. With software agent technology widely recognized as a key approach in implementing such global infrastructure, the importance of the role of

Mobile Data Mining and Applications

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Author :
Publisher : Springer
ISBN 13 : 3030165035
Total Pages : 235 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Mobile Data Mining and Applications by : Hao Jiang

Download or read book Mobile Data Mining and Applications written by Hao Jiang and published by Springer. This book was released on 2019-05-10 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on mobile data and its applications in the wireless networks of the future. Several topics form the basis of discussion, from a mobile data mining platform for collecting mobile data, to mobile data processing, and mobile feature discovery. Usage of mobile data mining is addressed in the context of three applications: wireless communication optimization, applications of mobile data mining on the cellular networks of the future, and how mobile data shapes future cities. In the discussion of wireless communication optimization, both licensed and unlicensed spectra are exploited. Advanced topics include mobile offloading, resource sharing, user association, network selection and network coexistence. Mathematical tools, such as traditional convexappl/non-convex, stochastic processing and game theory are used to find objective solutions. Discussion of the applications of mobile data mining to cellular networks of the future includes topics such as green communication networks, 5G networks, and studies of the problems of cell zooming, power control, sleep/wake, and energy saving. The discussion of mobile data mining in the context of smart cities of the future covers applications in urban planning and environmental monitoring: the technologies of deep learning, neural networks, complex networks, and network embedded data mining. Mobile Data Mining and Applications will be of interest to wireless operators, companies, governments as well as interested end users.

Information Systems Evolution

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Publisher : Springer
ISBN 13 : 3642177220
Total Pages : 293 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Information Systems Evolution by : Pnina Soffer

Download or read book Information Systems Evolution written by Pnina Soffer and published by Springer. This book was released on 2011-01-11 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the post-conference proceedings of the CAiSE Forum from the 22nd International Conference on Advanced Information Systems Engineering (CAiSE 2010), held in Hammamet, Tunisia, June 9, 2010. While the CAiSE conference itself focuses on papers that report on matured research, the CAiSE forum was created specifically as a platform to present fresh ideas, new concepts, and new and innovative systems, tools, and applications. The 22 papers presented in this volume were carefully reviewed and selected from 32 submissions. The reworked and extended versions of the original presentations cover topics such as business process management, enterprise architecture and modeling, service-oriented architectures, and requirements engineering.

Advancing Culture of Living with Landslides

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Publisher : Springer
ISBN 13 : 3319534874
Total Pages : 613 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Advancing Culture of Living with Landslides by : Matjaž Mikoš

Download or read book Advancing Culture of Living with Landslides written by Matjaž Mikoš and published by Springer. This book was released on 2017-05-16 with total page 613 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains peer-reviewed papers from the Fourth World Landslide Forum organized by the International Consortium on Landslides (ICL), the Global Promotion Committee of the International Programme on Landslides (IPL), University of Ljubljana (UL) and Geological Survey of Slovenia in Ljubljana, Slovenia from May 29 to June 2, 2017. The complete collection of papers from the Forum is published in five full-color volumes. This third volume contains the following: • One keynote lecture • Landslide Monitoring and Warning: Monitoring Techniques and Technologies, • Early Warning Systems • Landslide Disasters and Relief: Case Studies, Emergency Measures, First Aid, • Civil Protection Measures • Landslide Mitigation, Remediation and Stabilization: Landslide Protection Works, • Landslide Stabilization And Remediation Measures, Landslide Non-Structural Measures Prof. Matjaž Mikoš is the Forum Chair of the Fourth World Landslide Forum. He is the Vice President of International Consortium on Landslides and President of the Slovenian National Platform for Disaster Risk Reduction. Prof. Željko Arbanas is representative of Croatian Landslide Group, member of the International Consortium on Landslides. He is the Head of Geotechnical Chair at Faculty of Civil Engineering University of Rijeka, Croatia and the Assistant Editor-in-Chief of International Journal “Landslides”.“/p> Prof. Yueping Yin is the President of the International Consortium on Landslides and the Chairman of the Committee of Geo-Hazards Prevention of China, and the Chief Geologist of Geo-Hazard Emergency Technology, Ministry of Land and Resources, P.R. China. Prof. Kyoji Sassa is the Founding President of the International Consortium on Landslides (ICL). He is Executive Director of ICL and the Editor-in-Chief of International Journal “Landslides” since its foundation in 2004. IPL (International Programme on Landslides) is a programme of the ICL. The programme is managed by the IPL Global Promotion Committee including ICL and ICL supporting organizations, UNESCO, WMO, FAO, UNISDR, UNU, ICSU, WFEO, IUGS and IUGG. The IPL contributes to the United Nations International Strategy for Disaster Reduction and the ISDR-ICL Sendai Partnerships 2015–2025.

AI-POWERED SOFTWARE QUALITY ASSURANCE: TRANSFORMING TESTING WITH AI AND MACHINE LEARNING

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Author :
Publisher : Xoffencerpublication
ISBN 13 : 8119534441
Total Pages : 191 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis AI-POWERED SOFTWARE QUALITY ASSURANCE: TRANSFORMING TESTING WITH AI AND MACHINE LEARNING by : Amit Bhanushali

Download or read book AI-POWERED SOFTWARE QUALITY ASSURANCE: TRANSFORMING TESTING WITH AI AND MACHINE LEARNING written by Amit Bhanushali and published by Xoffencerpublication. This book was released on 2023-10-30 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: New challenges have arisen for the construction of contemporary AI-based systems as a result of recent developments in artificial intelligence (AI), in particular machine learning (ML) and deep learning (DL), and their incorporation into software-based systems utilized in all sectors of the economy. These systems place a heavy reliance on data, are constantly evolving and bettering themselves, and display a degree of intrinsic nondeterminism. As a consequence, their behavior displays a degree of uncertainty that is universally acknowledged. As a result of these characteristics, the field of software engineering has to devise adaptable and innovative approaches to quality assurance (QA) that are capable of both constructive and in-depth analysis. This is essential in order to guarantee the product's high quality throughout the whole development process as well as while it is being put to use in actual settings. On the other hand, as Borg has pointed out, the concept of "quality" in AI-based systems does not yet have a definitive definition at this time. As was noted before, the terminology that is utilized in the field of artificial intelligence and software engineering is distinct from one another. When developing AI-based systems, the knowledge and experiences of a wide variety of organizations are combined and utilized in the construction process. While this does lead to new and creative ways, exciting breakthroughs, and a major advancement in what can be done with current AI-based systems, it also encourages the babel of language, concepts, perceptions, and underlying assumptions and principles. While this does lead to new and creative methods, exciting breakthroughs, and a substantial advancement in what can be done with current AI-based systems, this does lead to new and creative approaches. While this does result in novel and creative methods, exciting discoveries, and a significant leap forward in terms of what can be accomplished with contemporary AI-based systems, it does so in spite of the fact that. For instance, in the field of machine learning (ML), the term "regression" may be used to refer to regression models or regression analysis, but in the field of software engineering (SE), the term "regression" is used to refer to regression testing. However, in the context of machine learning (ML), the term "testing" refers to the evaluation of performance characteristics (such as accuracy) of a trained model using a holdout validation dataset. In the context of software engineering (SE), "testing" is described as the activity of executing the system in order to uncover errors. As a consequence of this, there is an increasing amount of confusion, as well as the potential of solutions that are in contradiction with one another, about how to approach quality assurance for AI-based systems and how to deal with the challenges that are associated with it. This is because of the fact that there are a growing number of solutions that are based on AI. Although the authors of this study begin their investigation from the perspective of software engineering, their ultimate goal is to include and talk about a wide variety of different points of view, all of which will eventually come together to provide a multi-dimensional picture of quality assurance for AI-based systems. While the authors of this study begin their investigation from the perspective of software engineering, their ultimate goal is to include and talk about a wide variety of different points of view. In the first part of this study project, our primary focus is on defining the terminologies related with artificial intelligence quality assurance. In the following section, Section 3, we will discuss the challenges that are involved with QA for AI. In the last part of the inquiry, we will summarize what we found and form our conclusions.

Self-Aware Computing Systems

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Author :
Publisher : Springer
ISBN 13 : 331947474X
Total Pages : 720 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Self-Aware Computing Systems by : Samuel Kounev

Download or read book Self-Aware Computing Systems written by Samuel Kounev and published by Springer. This book was released on 2017-01-23 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides formal and informal definitions and taxonomies for self-aware computing systems, and explains how self-aware computing relates to many existing subfields of computer science, especially software engineering. It describes architectures and algorithms for self-aware systems as well as the benefits and pitfalls of self-awareness, and reviews much of the latest relevant research across a wide array of disciplines, including open research challenges. The chapters of this book are organized into five parts: Introduction, System Architectures, Methods and Algorithms, Applications and Case Studies, and Outlook. Part I offers an introduction that defines self-aware computing systems from multiple perspectives, and establishes a formal definition, a taxonomy and a set of reference scenarios that help to unify the remaining chapters. Next, Part II explores architectures for self-aware computing systems, such as generic concepts and notations that allow a wide range of self-aware system architectures to be described and compared with both isolated and interacting systems. It also reviews the current state of reference architectures, architectural frameworks, and languages for self-aware systems. Part III focuses on methods and algorithms for self-aware computing systems by addressing issues pertaining to system design, like modeling, synthesis and verification. It also examines topics such as adaptation, benchmarks and metrics. Part IV then presents applications and case studies in various domains including cloud computing, data centers, cyber-physical systems, and the degree to which self-aware computing approaches have been adopted within those domains. Lastly, Part V surveys open challenges and future research directions for self-aware computing systems. It can be used as a handbook for professionals and researchers working in areas related to self-aware computing, and can also serve as an advanced textbook for lecturers and postgraduate students studying subjects like advanced software engineering, autonomic computing, self-adaptive systems, and data-center resource management. Each chapter is largely self-contained, and offers plenty of references for anyone wishing to pursue the topic more deeply.

Smart Computing and Self-Adaptive Systems

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Author :
Publisher : CRC Press
ISBN 13 : 100050994X
Total Pages : 289 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Smart Computing and Self-Adaptive Systems by : Simar Preet Singh

Download or read book Smart Computing and Self-Adaptive Systems written by Simar Preet Singh and published by CRC Press. This book was released on 2021-12-19 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book intends to cover various problematic aspects of emerging smart computing and self-adapting technologies comprising of machine learning, artificial intelligence, deep learning, robotics, cloud computing, fog computing, data mining algorithms, including emerging intelligent and smart applications related to these research areas. Further coverage includes implementation of self-adaptation architecture for smart devices, self-adaptive models for smart cities and self-driven cars, decentralized self-adaptive computing at the edge networks, energy-aware AI-based systems, M2M networks, sensors, data analytics, algorithms and tools for engineering self-adaptive systems, and so forth. Acts as guide to Self-healing and Self-adaptation based fully automatic future technologies Discusses about Smart Computational abilities and self-adaptive systems Illustrates tools and techniques for data management and explains the need to apply, and data integration for improving efficiency of big data Exclusive chapter on the future of self-stabilizing and self-adaptive systems of systems Covers fields such as automation, robotics, medical sciences, biomedical and agricultural sciences, healthcare and so forth This book is aimed researchers and graduate students in machine learning, information technology, and artificial intelligence.

Joint Workshop of the German Research Training Groups in Computer Science

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Author :
Publisher : GITO mbH Verlag
ISBN 13 : 3942183366
Total Pages : 261 pages
Book Rating : 4.9/5 (421 download)

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Book Synopsis Joint Workshop of the German Research Training Groups in Computer Science by : Johannes Hölzl

Download or read book Joint Workshop of the German Research Training Groups in Computer Science written by Johannes Hölzl and published by GITO mbH Verlag. This book was released on 2011 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Requirements Engineering for Internet of Things

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Author :
Publisher : Springer
ISBN 13 : 9811077967
Total Pages : 212 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Requirements Engineering for Internet of Things by : Massila Kamalrudin

Download or read book Requirements Engineering for Internet of Things written by Massila Kamalrudin and published by Springer. This book was released on 2018-01-04 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 4th Asia Pacific Requirements Engineering Symposium, APRES 2017, held in Melaka, Malaysia, in November 2017. The 11 full papers presented together with four short papers were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on big data, cyber security, crowd-sourcing, requirements challenges, automation.

Software Quality: Future Perspectives on Software Engineering Quality

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Author :
Publisher : Springer Nature
ISBN 13 : 3030658546
Total Pages : 162 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Software Quality: Future Perspectives on Software Engineering Quality by : Dietmar Winkler

Download or read book Software Quality: Future Perspectives on Software Engineering Quality written by Dietmar Winkler and published by Springer Nature. This book was released on 2021-01-06 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th Software Quality Days Conference, SWQD 2021, which was planned to be held in Vienna, Austria, during January 19–21, 2021. Due to the COVID-19 pandemic, the conference was cancelled and will be merged with SWQD 2022. The Software Quality Days (SWQD) conference started in 2009 and has grown to the biggest conference on software quality in Europe with a strong community. The program of the SWQD conference is designed to encompass a stimulating mixture of practical presentations and new research topics in scientific presentations. The guiding conference topic of the SWQD 2021 is “Future Perspectives on Software Engineering Quality”. The 3 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 13 submissions. The volume also contains 2 invited talks and one introductory paper for an interactive session. The contributions were organized in topical sections named: automation in software engineering; quality assurance for AI-based systems; machine learning applications; industry-academia collaboration; and experimentation in software engineering.

Managing Trade-offs in Adaptable Software Architectures

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Author :
Publisher : Morgan Kaufmann
ISBN 13 : 0128028912
Total Pages : 432 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Managing Trade-offs in Adaptable Software Architectures by : Ivan Mistrik

Download or read book Managing Trade-offs in Adaptable Software Architectures written by Ivan Mistrik and published by Morgan Kaufmann. This book was released on 2016-08-12 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Managing Trade-Offs in Adaptable Software Architectures explores the latest research on adapting large complex systems to changing requirements. To be able to adapt a system, engineers must evaluate different quality attributes, including trade-offs to balance functional and quality requirements to maintain a well-functioning system throughout the lifetime of the system. This comprehensive resource brings together research focusing on how to manage trade-offs and architect adaptive systems in different business contexts. It presents state-of-the-art techniques, methodologies, tools, best practices, and guidelines for developing adaptive systems, and offers guidance for future software engineering research and practice. Each contributed chapter considers the practical application of the topic through case studies, experiments, empirical validation, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited to, how to architect a system for adaptability, software architecture for self-adaptive systems, understanding and balancing the trade-offs involved, architectural patterns for self-adaptive systems, how quality attributes are exhibited by the architecture of the system, how to connect the quality of a software architecture to system architecture or other system considerations, and more. - Explains software architectural processes and metrics supporting highly adaptive and complex engineering - Covers validation, verification, security, and quality assurance in system design - Discusses domain-specific software engineering issues for cloud-based, mobile, context-sensitive, cyber-physical, ultra-large-scale/internet-scale systems, mash-up, and autonomic systems - Includes practical case studies of complex, adaptive, and context-critical systems

Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems

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Author :
Publisher : CRC Press
ISBN 13 : 1000441814
Total Pages : 285 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems by : K. Suganthi

Download or read book Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems written by K. Suganthi and published by CRC Press. This book was released on 2021-09-13 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers the latest advances and results in the fields of Machine Learning and Deep Learning for Wireless Communication and provides positive and critical discussions on the challenges and prospects. It provides a broad spectrum in understanding the improvements in Machine Learning and Deep Learning that are motivating by the specific constraints posed by wireless networking systems. The book offers an extensive overview on intelligent Wireless Communication systems and its underlying technologies, research challenges, solutions, and case studies. It provides information on intelligent wireless communication systems and its models, algorithms and applications. The book is written as a reference that offers the latest technologies and research results to various industry problems.

Space Communications

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Publisher :
ISBN 13 :
Total Pages : 930 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Space Communications by : Louise C. Bickford

Download or read book Space Communications written by Louise C. Bickford and published by . This book was released on 1965 with total page 930 pages. Available in PDF, EPUB and Kindle. Book excerpt: