Software Engineering Frameworks for the Cloud Computing Paradigm, 1st Edition

  • Published By:
  • ISBN-10: 1447150317
  • ISBN-13: 9781447150312
  • DDC: 004.6782
  • Grade Level Range: College Freshman - College Senior
  • 365 Pages | eBook
  • Original Copyright 2013 | Published/Released June 2014
  • This publication's content originally published in print form: 2013

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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

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
1: Impact of Cloud Paradigm on Software Engineering.
2: Impact of Semantic Web and Cloud Computing Platform on Software Engineering.
3: Envisioning the Cloud-Induced Transformations in the Software Engineering Discipline.
4: Limitations and Challenges in Cloud-Based Applications Development.
5: Software Development Life Cycle for Cloud Platform.
6: Impact of Cloud Services on Software Development Life Cycle.
7: Cloud-Based Development Using Classic Life Cycle Model.
8: Business Requirements Engineering for Developing Cloud Computing Services.
9: Testing Perspectives for Cloud-Based Applications.
10: Testing in the Cloud: Strategies, Risks and Benefits.
11: Software Design Strategies for Cloud Adoption.
12: Feature-Driven Design of SaaS Architectures.
13: Impact of Cloud Adoption on Agile Software Development.
14: Technical Strategies and Architectural Patterns for Migrating Legacy Systems to the Cloud.
15: Cloud-Aided Software Engineering: Evolving Viable Software Systems through a Web of Views.
16: Development of Cloud Applications in Hybrid Clouds with Support for Multi-scheduling.
17: Performance of Cloud Based Software Applications.
18: Efficient Practices and Frameworks for Cloud-Based Application Development.
19: A Methodology for Identifying the Relationships between Performance Factors for Cloud Computing Applications.