Software Engineering & Systems Development

PUBLISHED


Viewing: 1 - 10 of 282
Published:
September 26, 2014
Editor(s):
Liviu Gabriel Cretu, Florin Dumitriu
Model-driven engineering (MDE) is the automatic production of software from simplified models of structure and functionality. It mainly involves the automation of the routine and technologically complex programming tasks, thus allowing developers to focus on the true value-adding functionality that 
Published:
September 23, 2014
Author(s):
Stephen J. Andriole
Companies understand that their ability to compete is tied directly to their ability to leverage the very latest technology advances. Fortunately, deploying new technology has never been easier, primarily due to early maturity and cloud delivery. One approach that is helping companies rapidly 
Published:
September 19, 2014
Author(s):
Nong Ye, Teresa Wu
Many professionals and students in engineering, science, business, and other application fields need to develop Windows-based and web-enabled information systems to store and use data for decision support, without help from professional programmers. However, few books are available to train 
Published:
September 19, 2014
Author(s):
Mukesh Sharma, Rajini Padmanaban
Its scale, flexibility, cost effectiveness, and fast turnaround are just a few reasons why crowdsourced testing has received so much attention lately. While there are a few online resources that explain what crowdsourced testing is all about, there’s been a need for a book that covers best 
Published:
August 29, 2014
Editor(s):
Biju Issac, Nauman Israr
Although the field of intelligent systems has grown rapidly in recent years, there has been a need for a book that supplies a timely and accessible understanding of this important technology. Filling this need, Case Studies in Intelligent Computing: Achievements and Trends provides an up-to-date 
Published:
August 01, 2014
Author(s):
Bhavani Thuraisingham, Tyrone Cadenhead, Murat Kantarcioglu, Vaibhav Khadilkar
With an ever-increasing amount of information on the web, it is critical to understand the pedigree, quality, and accuracy of your data. Using provenance, you can ascertain the quality of data based on its ancestral data and derivations, track back to sources of errors, allow automatic re-enactment 
Published:
July 07, 2014
Author(s):
Adair Dingle
About the Cover: Although capacity may be a problem for a doghouse, other requirements are usually minimal. Unlike skyscrapers, doghouses are simple units. They do not require plumbing, electricity, fire alarms, elevators, or ventilation systems, and they do not need to be built to code or pass 
Published:
June 25, 2014
Editor(s):
Vojislav B. Misic, Jelena Misic
With the number of machine-to-machine (M2M)–enabled devices projected to reach 20 to 50 billion by 2020, there is a critical need to understand the demands imposed by such systems. Machine-to-Machine Communications: Architectures, Technology, Standards, and Applications offers rigorous treatment of 
Published:
June 25, 2014
Editor(s):
Sherif Sakr, Mohamed Gaber
Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques currently available for large-scale data processing. Presenting chapters written by leading researchers, academics, and practitioners, it addresses the 
Published:
June 23, 2014
Editor(s):
Niranjan Suri, Giacomo Cabri
As the complexity of today’s networked computer systems grows, they become increasingly difficult to understand, predict, and control. Addressing these challenges requires new approaches to building these systems. Adaptive, Dynamic, and Resilient Systems supplies readers with various perspectives 

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