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Software Engineering Frameworks for the Cloud Computing Paradigm

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Beschreibung

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...

Beschreibung

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.

Rezension

From the reviews:

“This book focuses on one of the hottest areas in computer science today. … It begins by addressing the impact of the cloud platform on the software development life cycle process, including designing and testing. … the book is very informative and helpful in introducing software engineering students as well as traditional application developers to cloud computing. Summing Up: Recommended. Upper-division undergraduates through professionals/practitioners.” (F. H. Wild III, Choice, Vol. 51 (4), December, 2013)

Portrait


Dr. Zaigham Mahmood
is a researcher in the School of Computing at the University of Derby, UK, and a Senior Technology Consultant at Debesis Education. His other publications include the successful Springer book
Cloud Computing for Enterprise Architectures
.

Dr. Saqib Saeed
is an Assistant Professor in the Computer Science Department at Bahria University, Islamabad, Pakistan.

Produktdetails

Einband

Gebundene Ausgabe
Erscheinungsdatum

30.04.2013
Abbildungen

XVIII, 365 p.
Herausgeber Zaigham Mahmood + weitere

Produktdetails

Einband

Gebundene Ausgabe
Erscheinungsdatum

30.04.2013
Abbildungen

XVIII, 365 p.
Herausgeber
Verlag Springer London
Seitenzahl

365
Maße (L/B/H)

24,1/16/2,6 cm
Gewicht

689 g
Sprache

Englisch
ISBN

978-1-4471-5030-5
Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Software Engineering Frameworks for the Cloud Computing Paradigm

  • 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.