The third in a series of books documenting patterns for professional software developers, this volume continues the tradition of informational excellence established by the first two volumes. Pattern Languages of Program Design 3 differs from the previous two volumes in that it includes international submissions, gathering the best papers from both PLoP’96 and EuroPLoP’96.
It covers a wide range of pattern-related subjects, and patterns are arranged by topic so software engineers can easily select those of greatest relevance to their needs and application domains. This book goes beyond teaching software engineers that design patterns are powerful tools to impart understanding—it shows where and when patterns are best applied.
The patterns presented are grouped into: General Purpose Design Patterns Variations on Design Patterns Architectural Patterns Distribution Patterns Persistence Patterns User Interface Patterns Programming Patterns Domain-Specific Patterns Process Patterns Patterns on Patterns
Noted software expert Robert C. Martin presents a revolutionary paradigm with Clean Code: A Handbook of Agile Software Craftsmanship. Martin has teamed up with his colleagues from Object Mentor to distill their best agile practice of cleaning code “on the fly” into a book that will instill within you the values of a software craftsman and make you a better programmer—but only if you work at it.
What kind of work will you be doing? You’ll be reading code—lots of code. And you will be challenged to think about what's right about that code, and what’s wrong with it. More importantly, you will be challenged to reassess your professional values and your commitment to your craft.
Clean Code is divided into three parts. The first describes the principles, patterns, and practices of writing clean code. The second part consists of several case studies of increasing complexity. Each case study is an exercise in cleaning up code—of transforming a code base that has some problems into one that is sound and efficient. The third part is the payoff: a single chapter containing a list of heuristics and “smells” gathered while creating the case studies. The result is a knowledge base that describes the way we think when we write, read, and clean code.
Readers will come away from this book understanding
• How to tell the difference between good and bad code
• How to write good code and how to transform bad code into good code
• How to create good names, good functions, good objects, and good classes
• How to format code for maximum readability
• How to implement complete error handling without obscuring code logic
• How to unit test and practice test-driven development
This book is a must for any developer, software engineer, project manager, team lead, or systems analyst with an interest in producing better code.