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Software Engineering Frameworks for the Cloud Computing Paradigm

CCN: SOFTWARE ENG FRAMEWORKS FOR CLOUD COMPUTING PRDGM

Information Technology

Computing & Information Technology

Gt Product Group

Binding Format

Marketing Imprint Name

B2B GT

CL Carton Count

Imprint Name

B2B & B2C

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.

POST SECONDARY FOUR YEAR

COLFR

COLSO

COLJR

COLSR

Duration

Duration Unit Of Measure

Transaction Type

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Dedication.
Editors.
Preface.
Acknowledgements.
Contents.
Contributors.
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.
Index.

Software Engineering Frameworks for the Cloud Computing Paradigm.css-1p8rvzy{position:absolute;padding-left:8px;}

Software Engineering Frameworks for the Cloud Computing Paradigm