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Software engineering / Ian Sommerville.

By: Material type: TextTextPublisher: Harlow, Essex, England : Pearson, [2016]Edition: Tenth edition, Global editionDescription: 810 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781292096131 (paperback)
  • 1292096136 (paperback)
Subject(s): DDC classification:
  • 005.1 SOM 23
Holdings
Item type Current library Call number Status Date due Barcode
Standard Loan Moylish Library Main Collection 005.1 SOM (Browse shelf(Opens below)) Available 39002100694893

Enhanced descriptions from Syndetics:

Understand the fundamental practices of modern software engineering.

Software Engineering, 10th Edition, Global Edition, by Ian Sommerville, provides you with a solid introduction to the crucial subject of software programming and development. As computer systems have come to dominate our technical growth in recent years, they have also come to permeate the foundations of the world's major industries. This text lays out the fundamental concepts of this vast, constantly growing subject area in a clear and comprehensive manner.

The book aims to teach you, the innovators of tomorrow, how to create software that will make our world a better, safer, and more advanced place to live. Sommerville's experience in system dependability and systems engineering guides you through the text using a traditional, plan-based approach that also incorporates novel agile methods.

This 10th edition contains new information that highlight various technological updates in recent years, providing you with highly relevant and current information. With new case studies and updated chapters on topics like service-oriented software, this edition ensures your studies keep pace with today's business world.

Incorporating an updated structure and a host of learning features to enhance your studies, this text contains all the tools you need to excel.

Includes bibliographical references and index.

Author notes provided by Syndetics

Professor Ian Sommerville is an Emeritus Professor at the School of Computer Science, University of St. Andrews. His research interests are focused on dependable socio-technical systems and incorporating their techniques in systems engineering processes

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