This book focuses on the development and implementation of
cloud-based, complex software that allows parallelism, fast
processing, and real-time connectivity. Software engineering (SE)
is the design, development, testing, and implementation of software
applications, and this discipline is as well developed as the
practice is well established whereas the Cloud Software Engineering
(CSE) is the design, development, testing, and continuous delivery
of service-oriented software systems and applications (Software as
a Service Paradigm). However, with the emergence of the highly
attractive cloud computing (CC) paradigm, the tools and techniques
for SE are changing. CC provides the latest software development
environments and the necessary platforms relatively easily and
inexpensively. It also allows the provision of software
applications equally easily and on a pay-as-you-go basis. Business
requirements for the use of software are also changing and there is
a need for applications in big data analytics, parallel computing,
AI, natural language processing, and biometrics, etc. These require
huge amounts of computing power and sophisticated data management
mechanisms, as well as device connectivity for Internet of Things
(IoT) environments. In terms of hardware, software, communication,
and storage, CC is highly attractive for developing complex
software that is rapidly becoming essential for all sectors of
life, including commerce, health, education, and transportation.
The book fills a gap in the SE literature by providing scientific
contributions from researchers and practitioners, focusing on
frameworks, methodologies, applications, benefits and inherent
challenges/barriers to engineering software using the CC paradigm.
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