Software Engineering 2nd Ed (Routledge)
Wednesday, 18 August 2021

This book provides a comprehensive, but concise introduction to software engineering, covering concepts, principles, design, construction, implementation, and management issues. It adopts a methodical approach to solving software engineering problems, that the authors Elvis C. Foster and Bradford A. Towle, Jr. say has been proven over several years of teaching, with outstanding results.

<ASIN:0367746018>

New in the Second Edition are chapters on software engineering projects, management support systems, software engineering frameworks and patterns as a significant building block for the design and construction of contemporary software systems, and emerging software engineering frontiers.

Author: Elvis C. Foster and Bradford A. Towle, Jr.
Publisher: Routledge
Date: July 2021
Pages: 578
ISBN: 978-0367746018
Print: 0367746018
Kindle: B097MPY6C4
Audience: General
Level: Introductory/Intermediate
Category: Methodology

softeng

Topics covered:

 

  • Project management aids that are commonly used in software engineering
  • An overview of the software design phase, including a discussion of the software design process, design strategies, architectural design, interface design, database design, and design and development standards
  • User interface design
  • Operations design
  • Design considerations including system catalog, product documentation, user message management, design for real-time software, design for reuse, system security, and the agile effect
  • Human resource management from a software engineering perspective
  • Software economics
  • Software implementation issues that range from operating environments to the marketing of software
  • Software maintenance, legacy systems, and re-engineering

 

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Artificial Intelligence, Machine Learning, and Deep Learning (Mercury Learning)

Author: Oswald Campesato
Publisher: Mercury Learning
Date: February 2020
Pages: 300
ISBN: 978-1683924678
Print: 1683924673
Kindle: B084P1K9YP
Audience: Developers interested in machine learning
Rating: 4
Reviewer: Mike James

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Publisher: Addison-Wesley
Date: October 2022
Pages: 928
ISBN:978-0134855684
Print: 013485568X
Kindle: B0B1WJF1K9
Audience: Python developers
Rating: 4
Reviewer: Mike James
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