Software Engineering Frameworks for the Cloud Computing Paradigm

Software Engineering Frameworks for the Cloud Computing Paradigm edited by Zaigham Mahmood, Saqib Saeed.

With the emergence of cloud computing, traditional approaches to software engineering must be adapted in order to take full advantage of the benefits promised by cloud technologies. This timely and authoritative text/reference presents the latest research on Software Engineering Frameworks for the C...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Mahmood, Zaigham (Editor), Saeed, Saqib (Editor)
Format: eBook
Language:English
Published: London : Springer London : Imprint: Springer, 2013.
Edition:1st ed. 2013.
Series:Computer Communications and Networks,
Springer eBook Collection.
Subjects:
Computer communication systems.
Software engineering.
Information technology.
Business—Data processing.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
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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