Beyond Legacy Code

Author: David Scott Bernstein
Publisher: Pragmatic Bookshelf
Pages: 230
ISBN: 978-1680500790
Print: 1680500791
Kindle: B01CRIZEF8
Audience: Developers
Rating: 5
Reviewer: Kay Ewbank

Over the festive season IProgrammer asks its reviewers to recommend books that are worth a second look in case you missed them. As this book descibes practices that could save the software industry from broken code, it seemed like a suitable inclusion.

The first thing to say about the book is that the title is misleading. The book isn't actually about legacy code, or reworking code to take it beyond legacy code. What Bernstein means by the title is that by using the techniques described, you'll write what might be termed 'modern' code - clean, understandable, and working. 

The book starts with a section called the legacy code crisis that lays out the problem of existing code being hard to maintain and extend. There are chapters on the Standish Group's CHAOS report and on the rise of agile coding, but essentially this part of the book is all scene setting.

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The second part of the book then has chapters on each of nine practices, each describing an idea that Bernstein says will extend the life and value of your software.

These practices are:

  • Say What, Why and for Whom Before How
  • Build in Small Batches
  • Integrate Continuously
  • Collaborate
  • Create CLEAN code (Cohesive, Loosely coupled, Encapsulated, Assertive and Nonredundant)
  • Write the Test First
  • Specify Behaviors with Tests
  • Implement the Design Last
  • Refactor Legacy Code

Each chapter is written quite conversationally, and the book is easy reading. There are plenty of references to real world examples, and all the chapters on the practices end with a "let's get practical" section with seven strategies for putting into practice the ideas within that chapter. Where appropriate, the different techniques in common use for that particular idea are clearly and succinctly summed up, so that the chapter on collaboration, for example, discusses pair programming, buddy programming, spike, swarm and mob techniques.

 

 

This is a really nice read. Some ideas covered within it will be ones you've probably heard of, but the discussions of why they are worth adopting are well made and clear. It would be a great book for anyone who's not a developer and who wants to know why some ideas have become trendy, but it's equally good for clarifying the thoughts of those of us who do write code so we can do it better.

 

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The Scrumban (R)Evolution

Author: Ajay Reddy
Publisher: Pearson
Pages:384
ISBN: 978-0134086217
Print: 013408621X
Kindle: B010TQKZ5E
Audience: developers wanting to learn scrumban
Rating: 4.5
Reviewer: Alex Denham

This book sets out to show how Lean and Agile principles can be mixed and managed within the Scrumban framework [ ... ]



Thoughtful Machine Learning with Python

Author: Matthew Kirk
Publisher: O'Reilly
Pages:250
ISBN: 978-1491924136
Print: 1491924136
Kindle:B01N12DLF9
Audience: Non maths oriented programmers wanting to get into machine learning.
Rating: 2
Reviewer: Mike James

A book on AI in Python, what could be better?


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Last Updated ( Saturday, 07 January 2017 )