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Adoption and Usage of Aisema Systems

Irina Diana Coman

Published by LAP LAMBERT Academic Publishing
ISBN 10: 3838375009 / ISBN 13: 9783838375007
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Title: Adoption and Usage of Aisema Systems

Publisher: LAP LAMBERT Academic Publishing

Binding: Paperback

Book Condition: New

Book Type: Paperback

Description:

Paperback. 160 pages. Dimensions: 8.7in. x 5.9in. x 0.4in.AISEMA systems have already been around for many years promising cheap, extensive data collection and support for decision making and software process improvement. Although successful in collecting large amounts of software engineering data, AISEMA systems are not widespread in industry, mainly because the actual costs, challenges, and benefits remain unclear. This book draws on a concrete, long-term experience in industry to offer a better understanding of the adoption process, usage, and potential benefits of AISEMA systems. The book proposes a detailed description of the adoption process, identifies concrete ways to successfully overcome the main challenges, suggests several potential usages and explores the usage of collected data for gaining a better understanding of software processes. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Bookseller Inventory # 9783838375007

About this title:

Synopsis: AISEMA systems have already been around for many years promising cheap, extensive data collection and support for decision making and software process improvement. Although successful in collecting large amounts of software engineering data, AISEMA systems are not widespread in industry, mainly because the actual costs, challenges, and benefits remain unclear. This book draws on a concrete, long-term experience in industry to offer a better understanding of the adoption process, usage, and potential benefits of AISEMA systems. The book proposes a detailed description of the adoption process, identifies concrete ways to successfully overcome the main challenges, suggests several potential usages and explores the usage of collected data for gaining a better understanding of software processes.

About the Author: Irina Diana Coman holds a PhD degree in Software Engineering (2009), a Master's degree in Data Mining (2005), and an engineer's degree in computer science. She worked briefly in industry as a software engineer. She is currently a researcher at the Free University of Bozen-Bolzano, where she teaches the Software Engineering course.

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