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How to Engineer Software
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How to Engineer Software : A Model-Based Approach

Book Details

Format Hardback or Cased Book
ISBN-10 1119546621
ISBN-13 9781119546627
Publisher John Wiley and Sons Ltd
Imprint Wiley-Blackwell
Country of Manufacture US
Country of Publication GB
Publication Date Dec 2nd, 2019
Print length 1168 Pages
Weight 1,960 grams
Dimensions 16.00 x 23.50 x 4.80 cms
Ksh 21,400.00
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A guide to the application of the theory and practice of computing to develop and maintain software that economically solves real-world problem  How to Engineer Software is a practical, how-to guide that explores the concepts and techniques of model-based software engineering using the Unified Modeling Language. The author—a noted expert on the topic—demonstrates how software can be developed and maintained under a true engineering discipline. He describes the relevant software engineering practices that are grounded in Computer Science and Discrete Mathematics. Model-based software engineering uses semantic modeling to reveal as many precise requirements as possible. This approach separates business complexities from technology complexities, and gives developers the most freedom in finding optimal designs and code. The book promotes development scalability through domain partitioning and subdomain partitioning. It also explores software documentation that specifically and intentionally adds value for development and maintenance. This important book: Contains many illustrative examples of model-based software engineering, from semantic model all the way to executable codeExplains how to derive verification (acceptance) test cases from a semantic modelDescribes project estimation, along with alternative software development and maintenance processesShows how to develop and maintain cost-effective software that solves real-world problems Written for graduate and undergraduate students in software engineering and professionals in the field, How to Engineer Software offers an introduction to applying the theory of computing with practice and judgment in order to economically develop and maintain software.  

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