Software Engineering Made Easy: A Comprehensive Reference Guide for Writing Good Code Front Cover

Software Engineering Made Easy: A Comprehensive Reference Guide for Writing Good Code

  • Length: 306 pages
  • Edition: First Edition
  • Publisher:
  • Publication Date: 2025/07/04
  • ISBN-10: B0DV3NFC8F
  • ISBN-13: 9798868813856
Description

Learn how to write good code for humans. This user-friendly book is a comprehensive guide to writing clear and bug-free code. It integrates established programming principles and outlines expert-driven rules to prevent you from over-complicating your code.

You’ll take a practical approach to programming, applicable to any programming language and explore useful advice and concrete examples in a concise and compact form. Sections on Single Responsibility Principle, naming, levels of abstraction, testing, logic (if/else), interfaces, and more, reinforce how to effectively write low-complexity code. While many of the principles addressed in this book are well-established, it offers you a single resource.

Software Engineering Made Easy modernizes classic software programming principles with quick tips relevant to real-world applications. Most importantly, it is written with a keen awareness of how humans think. The end-result is human-readable code that improves maintenance, collaboration, and debugging—critical for software engineers working together to make purposeful impacts in the world.

What You Will Learn

  • Understand the essence of software engineering.
  • Simplify your code using expert techniques across multiple languages.
  • See how to structure classes.
  • Manage the complexity of your code by using level abstractions.
  • Review test functions and explore various types of testing.

Who This Book Is For

Intermediate programmers who have a basic understanding of coding but are relatively new to the workforce. Applicable to any programming language, but proficiency in C++ or Python is preferred. Advanced programmers may also benefit from learning how to deprogram bad habits and de-complicate their code.

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