Software Engineering Frameworks for the Cloud Computing Paradigm

個数:1
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¥24,777
  • 電子書籍

Software Engineering Frameworks for the Cloud Computing Paradigm

  • 言語:ENG
  • ISBN:9781447150305
  • eISBN:9781447150312

ファイル: /

Description

This book presents the latest research on Software Engineering Frameworks for the Cloud Computing Paradigm, drawn from an international selection of researchers and practitioners. The book offers both a discussion of relevant software engineering approaches and practical guidance on enterprise-wide software deployment in the cloud environment, together with real-world case studies. Features: presents the state of the art in software engineering approaches for developing cloud-suitable applications; discusses the impact of the cloud computing paradigm on software engineering; offers guidance and best practices for students and practitioners; examines the stages of the software development lifecycle, with a focus on the requirements engineering and testing of cloud-based applications; reviews the efficiency and performance of cloud-based applications; explores feature-driven and cloud-aided software design; provides relevant theoretical frameworks, practical approaches and future research directions.

Table of Contents

Part I: Impact of the Cloud Paradigm on Software Engineering.- Impact of the Semantic Web and Cloud Computing Platforms on Software Engineering.- Envisioning Cloud-Induced Transformations in the Software Engineering Discipline.- Limitations and Challenges in Cloud-Based Applications Development.- Part II: Software Development Life Cycles for Cloud Platforms.- Impact of Cloud Services on Software Development Life Cycles.- Cloud-Based Development Using Classic Life Cycle Models.- Business Requirements Engineering for Developing Cloud Computing Services.- Testing Perspectives for Cloud-Based Applications.- Testing in the Cloud.- Part III: Software Design Strategies for Cloud Adoption.- Feature-Driven Design of SaaS Architectures.- Impact of Cloud Adoption on Agile Software Development.- Technical Strategies and Architectural Patterns for Migrating Legacy Systems to the Cloud.- Cloud-Aided Software Engineering.- Development of Cloud Applications in Hybrid Clouds with Support for Multi-Scheduling.- Part IV: Performance of Cloud-Based Software Applications.- Efficient Practices and Frameworks for Cloud-Based Applications Development.- A Methodology for Identifying the Relationships Between Performance Factors for Cloud Computing Applications.

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