Book Image

.NET Design Patterns

By : Praseed Pai, Shine Xavier
Book Image

.NET Design Patterns

By: Praseed Pai, Shine Xavier

Overview of this book

Knowing about design patterns enables developers to improve their code base, promoting code reuse and making their design more robust. This book focuses on the practical aspects of programming in .NET. You will learn about some of the relevant design patterns (and their application) that are most widely used. We start with classic object-oriented programming (OOP) techniques, evaluate parallel programming and concurrency models, enhance implementations by mixing OOP and functional programming, and finally to the reactive programming model where functional programming and OOP are used in synergy to write better code. Throughout this book, we’ll show you how to deal with architecture/design techniques, GoF patterns, relevant patterns from other catalogs, functional programming, and reactive programming techniques. After reading this book, you will be able to convincingly leverage these design patterns (factory pattern, builder pattern, prototype pattern, adapter pattern, facade pattern, decorator pattern, observer pattern and so on) for your programs. You will also be able to write fluid functional code in .NET that would leverage concurrency and parallelism!
Table of Contents (22 chapters)
.NET Design Patterns
Credits
Foreword
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

Ontology


In software engineering parlance, Ontology is the art, craft, and science of describing entities (types), attributes (properties), and relationships that exist in a particular domain of discourse. It can also be considered as a model for describing entities, attributes, their relationship, and even standard behavior. An ontology really helps to come up with a ubiquitous language (as in Domain-Driven Design (DDD)), where all stakeholders agree, and which eases communication. It avoids confusion while developing multi-domain software systems. An ontology defines and represents the basic terms and relations that exist in a software engineering context.

From an information processing perspective, the following points are to be noted:

  • The propositional and predicate logic gives the rules of inference and formal structures to encode facts
  • The ontology defines and helps to represent entities, their attributes, and the relationship between the entities in an unambiguous manner
  • The computation...