Software Engineering: An Agile Unified Methodology ISE

Author:   David Kung
Publisher:   McGraw-Hill Education
Edition:   2nd edition
ISBN:  

9781265242435


Pages:   688
Publication Date:   21 March 2023
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Software Engineering: An Agile Unified Methodology ISE


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Overview

The new edition of Software Engineering presents a step-by-step methodology that integrates Modeling and Design, UML, Patterns, Test-Driven Development, Quality Assurance, Configuration Management, and Agile Principles throughout the life cycle. The overall approach is casual and easy to follow, with many practical examples that show the theory at work. The author uses his experiences as well as real-world stories to help the reader understand software design principles, patterns, and other software engineering concepts. The book also provides stimulating exercises that go far beyond the type of question that can be answered by simply copying portions of the text. The new edition of Software Engineering is now available for the first time in McGraw Hill Connect! Connect for this course features the MHeBook, Writing Tool, Proctorio, and the Connect authoring tool that offers the ability to create your own questions.

Full Product Details

Author:   David Kung
Publisher:   McGraw-Hill Education
Imprint:   McGraw-Hill Education
Edition:   2nd edition
Dimensions:   Width: 18.50cm , Height: 2.30cm , Length: 23.10cm
Weight:   0.866kg
ISBN:  

9781265242435


ISBN 10:   1265242437
Pages:   688
Publication Date:   21 March 2023
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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David Kung is a Full Professor in the Department of Computer Science and Engineering at the University of Texas at Arlington. He is also the Director of the Software Engineering Program and the Software Engineering Research Center. He received his BS in Mathematics from Beijing University, and his MS and PhD in Computer Science from the Norwegian Institute of Technology (now Norwegian University of Science and Technology), Trondheim, Norway. His research area is Software Engineering. His research interests include methodologies for agile as well as plan-driven development, object-oriented software testing, and software security. His research is supported by many companies and funding agencies.

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