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Software engineering in the era of c...

Mahmood, Zaigham.

Software engineering in the era of cloud computing

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Software engineering in the era of cloud computingedited by Muthu Ramachandran, Zaigham Mahmood.
其他作者:	Mahmood, Zaigham.
出版者:	Cham :Springer International Publishing :2020.
面頁冊數:	xxiv, 354 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Software engineering.
電子資源:	https://doi.org/10.1007/978-3-030-33624-0
ISBN:	9783030336240$q(electronic bk.)

Software engineering in the era of cloud computing
Software engineering in the era of cloud computing[electronic resource] /edited by Muthu Ramachandran, Zaigham Mahmood. - Cham :Springer International Publishing :2020. - xxiv, 354 p. :ill., digital ;24 cm. - Computer communications and networks,1617-7975. - Computer communications and networks..

Part 1 - Cloud Requirements Engineering and Domain Modelling: 1. Requirement Engineering Framework for Service and Cloud Computing (REF-SCC) -- 2. Towards an Effective Requirement Engineering Approach for Cloud Applications -- 3. Requirements Engineering for Large-Scale Big Data Applications -- 4. Migrating from Monoliths to Cloud-Based Microservices: A Banking Industry Example -- 5. Cloud Enabled Domain Based Software Development -- 6. Security Challenges in Software Engineering for the Cloud: A Systematic Review.

This book focuses on the development and implementation of cloud-based, complex software that allows parallelism, fast processing, and real-time connectivity. Software engineering (SE) is the design, development, testing, and implementation of software applications, and this discipline is as well developed as the practice is well established whereas the Cloud Software Engineering (CSE) is the design, development, testing, and continuous delivery of service-oriented software systems and applications (Software as a Service Paradigm) However, with the emergence of the highly attractive cloud computing (CC) paradigm, the tools and techniques for SE are changing. CC provides the latest software development environments and the necessary platforms relatively easily and inexpensively. It also allows the provision of software applications equally easily and on a pay-as-you-go basis. Business requirements for the use of software are also changing and there is a need for applications in big data analytics, parallel computing, AI, natural language processing, and biometrics, etc. These require huge amounts of computing power and sophisticated data management mechanisms, as well as device connectivity for Internet of Things (IoT) environments. In terms of hardware, software, communication, and storage, CC is highly attractive for developing complex software that is rapidly becoming essential for all sectors of life, including commerce, health, education, and transportation. The book fills a gap in the SE literature by providing scientific contributions from researchers and practitioners, focusing on frameworks, methodologies, applications, benefits and inherent challenges/barriers to engineering software using the CC paradigm.

ISBN: 9783030336240$q(electronic bk.)

Standard No.: 10.1007/978-3-030-33624-0doiSubjects--Topical Terms:

184729
Software engineering.

LC Class. No.: QA76.758 / .S64 2020

Dewey Class. No.: 005.1

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520 $a This book focuses on the development and implementation of cloud-based, complex software that allows parallelism, fast processing, and real-time connectivity. Software engineering (SE) is the design, development, testing, and implementation of software applications, and this discipline is as well developed as the practice is well established whereas the Cloud Software Engineering (CSE) is the design, development, testing, and continuous delivery of service-oriented software systems and applications (Software as a Service Paradigm) However, with the emergence of the highly attractive cloud computing (CC) paradigm, the tools and techniques for SE are changing. CC provides the latest software development environments and the necessary platforms relatively easily and inexpensively. It also allows the provision of software applications equally easily and on a pay-as-you-go basis. Business requirements for the use of software are also changing and there is a need for applications in big data analytics, parallel computing, AI, natural language processing, and biometrics, etc. These require huge amounts of computing power and sophisticated data management mechanisms, as well as device connectivity for Internet of Things (IoT) environments. In terms of hardware, software, communication, and storage, CC is highly attractive for developing complex software that is rapidly becoming essential for all sectors of life, including commerce, health, education, and transportation. The book fills a gap in the SE literature by providing scientific contributions from researchers and practitioners, focusing on frameworks, methodologies, applications, benefits and inherent challenges/barriers to engineering software using the CC paradigm.
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