Dependency injection is a design pattern that removes tight coupling between objects and their dependencies. It allows for objects to have their dependencies satisfied externally rather than internally. There are three main types of dependency injection: constructor injection, setter injection, and interface injection. Constructor injection passes dependencies through a class's constructor, while setter injection uses properties, and interface injection relies on implementing a common interface. Dependency injection promotes loose coupling, testability, and flexibility between classes.
Here are the steps to create the UI for the banking portal application using Spring MVC:
1. Create a Spring MVC project in your IDE.
2. Create a Controller class called HomeController and annotate it with @Controller. Map it to the home page URL using @RequestMapping.
3. Create another Controller class called LoginController and annotate it with @Controller. Map it to the login page URL.
4. Create a JSP page called home.jsp to display the home page content.
5. Create another JSP page called login.jsp to display the login form.
6. Configure the view resolvers in the Spring configuration file to resolve JSP views.
7
This document provides an overview of Google Guice, an open source Java framework for dependency injection. It discusses key Guice concepts like dependency injection, bindings, providers, and scopes. It also covers advanced topics such as aspect-oriented programming with Guice, integration with other frameworks like Spring, and using Guice in servlets. The goal of Guice is to simplify dependency management and increase testability by removing hard-coded dependencies.
This document describes how to rapidly develop a web application using ASP.NET MVC 3 in Microsoft Visual Studio 2010. It outlines how to create a new project, add models, contexts, controllers with CRUD functionality, and use HTML helpers and dynamic templates to simplify development. MVC 3 enables full control over HTML while separating concerns, and allows both basic and complex applications to be built quickly through its RAD elements integrated into Visual Studio.
Introduction to Spring's Dependency InjectionRichard Paul
This document provides an overview of dependency injection in Spring. It defines dependency injection as a form of inversion of control where objects are provided to classes rather than having classes create their own dependencies. It discusses the benefits of dependency injection such as loose coupling, easy switching of implementations, and enhanced testability. It also compares constructor injection and setter injection and describes how to configure dependency injection using XML, annotations, and Java configuration in Spring.
The document provides an overview of mapping value type objects, collections, and database relationships in Hibernate. It discusses how to map shared properties as components using the <component> element, and how to map collections like sets, lists, and bags using the <set>, <list>, and <bag> elements respectively. It also demonstrates how to define one-to-one, one-to-many, and many-to-many relationships between entity classes to represent relationships between database tables.
Dependency Injection або Don’t call me, I’ll call youDmytro Mindra
This document provides an overview of dependency injection using the Unity framework. It begins by explaining concepts like inversion of control and dependency injection. It then demonstrates how to implement dependency injection with Unity through examples of constructor injection, property injection, and lifetime managers. The document also compares Unity to other frameworks like StructureMap and Spring, and discusses where each framework is best applied. Overall, the document is an introduction to dependency injection principles and how to implement them using the Unity framework.
The document discusses Google Guice, an open source framework for dependency injection in Java. It provides an overview of dependency injection and what problem it aims to solve. The document then covers the key aspects of Google Guice, including how to define bindings between interfaces and implementations, different types of injections, and how to integrate Guice into applications and with other frameworks.
Dependency injection with unity 2.0 Dmytro Mindra LohikaAlex Tumanoff
This document discusses dependency injection (DI) and the Unity DI container. It begins with an overview of DI and its benefits for modularity, testability and adaptability. It then provides examples of DI approaches like composition, factories and the DI pattern. The document demonstrates how Unity can be used to configure DI through registration, injection types and lifetime managers. It concludes with some limitations, performance considerations and additional DI frameworks.
Here are the steps to create the UI for the banking portal application using Spring MVC:
1. Create a Spring MVC project in your IDE.
2. Create a Controller class called HomeController and annotate it with @Controller. Map it to the home page URL using @RequestMapping.
3. Create another Controller class called LoginController and annotate it with @Controller. Map it to the login page URL.
4. Create a JSP page called home.jsp to display the home page content.
5. Create another JSP page called login.jsp to display the login form.
6. Configure the view resolvers in the Spring configuration file to resolve JSP views.
7
This document provides an overview of Google Guice, an open source Java framework for dependency injection. It discusses key Guice concepts like dependency injection, bindings, providers, and scopes. It also covers advanced topics such as aspect-oriented programming with Guice, integration with other frameworks like Spring, and using Guice in servlets. The goal of Guice is to simplify dependency management and increase testability by removing hard-coded dependencies.
This document describes how to rapidly develop a web application using ASP.NET MVC 3 in Microsoft Visual Studio 2010. It outlines how to create a new project, add models, contexts, controllers with CRUD functionality, and use HTML helpers and dynamic templates to simplify development. MVC 3 enables full control over HTML while separating concerns, and allows both basic and complex applications to be built quickly through its RAD elements integrated into Visual Studio.
Introduction to Spring's Dependency InjectionRichard Paul
This document provides an overview of dependency injection in Spring. It defines dependency injection as a form of inversion of control where objects are provided to classes rather than having classes create their own dependencies. It discusses the benefits of dependency injection such as loose coupling, easy switching of implementations, and enhanced testability. It also compares constructor injection and setter injection and describes how to configure dependency injection using XML, annotations, and Java configuration in Spring.
The document provides an overview of mapping value type objects, collections, and database relationships in Hibernate. It discusses how to map shared properties as components using the <component> element, and how to map collections like sets, lists, and bags using the <set>, <list>, and <bag> elements respectively. It also demonstrates how to define one-to-one, one-to-many, and many-to-many relationships between entity classes to represent relationships between database tables.
Dependency Injection або Don’t call me, I’ll call youDmytro Mindra
This document provides an overview of dependency injection using the Unity framework. It begins by explaining concepts like inversion of control and dependency injection. It then demonstrates how to implement dependency injection with Unity through examples of constructor injection, property injection, and lifetime managers. The document also compares Unity to other frameworks like StructureMap and Spring, and discusses where each framework is best applied. Overall, the document is an introduction to dependency injection principles and how to implement them using the Unity framework.
The document discusses Google Guice, an open source framework for dependency injection in Java. It provides an overview of dependency injection and what problem it aims to solve. The document then covers the key aspects of Google Guice, including how to define bindings between interfaces and implementations, different types of injections, and how to integrate Guice into applications and with other frameworks.
Dependency injection with unity 2.0 Dmytro Mindra LohikaAlex Tumanoff
This document discusses dependency injection (DI) and the Unity DI container. It begins with an overview of DI and its benefits for modularity, testability and adaptability. It then provides examples of DI approaches like composition, factories and the DI pattern. The document demonstrates how Unity can be used to configure DI through registration, injection types and lifetime managers. It concludes with some limitations, performance considerations and additional DI frameworks.
This article provides a comparison of the Classic (Cucumber/Gherkin) and Technical (Karate/Gherkin) uses of the BDD style. It turns out that they are very complimentary.
The document introduces the Spring framework. It discusses that Spring is a popular open-source framework that aims to simplify Java application development. It enables using simple Java objects and loose coupling. The document then explores the Spring architecture including its core modules like beans, AOP, ORM etc. It also discusses Spring containers like bean factory and application context that manage application objects and dependencies.
Mahika Tutorials sharing Java Spring Framework Tutorials. You can visit our YouTube Page for Video Session also : https://www.youtube.com/c/mahikatutorials
This document describes a UI testing pattern using React, Material-UI, BDD with Cucumber, and Kotlin/Selenide. It utilizes the Se34 page object generator to generate page object classes from metadata. This separates page representation from test logic for improved maintenance. Tests are defined in BDD style and cover use cases like login, account creation, and password recovery. Page objects and step definitions enable clear and maintainable automation code. Test results are output to the console.
Babble article - Test Automation & Text TranslationDavid Harrison
This article shows a pattern for Test Automation that embraces the testing (validation) of web applications that allow different spoken languages (EN, IT etc). It also presents a novel way of writing BDD statements that improves the Test Automation development and maintenance process.
The Factory Method pattern defines an interface for creating objects but lets subclasses decide which class to instantiate. It provides a way to delegate object instantiation to subclasses. For example, a hotel front desk acts as a factory by creating the appropriate type of room object based on a customer's needs. The pattern involves a Creator class with a factory method that returns a Product object, while ConcreteCreator subclasses override the method to instantiate a ConcreteProduct. This decouples client code from the instantiation process and makes a system extensible to new product types.
Luis Valencia will give a presentation on applying Typescript design patterns to React/SPFx. He has 17 years of experience including 10 years in SharePoint. The session will focus on writing clean, maintainable code and not flashy user interfaces. It will cover common design patterns like singleton, abstract factory, builder, and factory method. It will also discuss SOLID principles and building shared code libraries. The presentation aims to teach developers how to write code that is easy for others to maintain.
The document discusses dependency injection and inversion of control principles using the Microsoft Unity framework. It begins by describing problems with rigid and fragile code that is difficult to maintain and change. It then covers dependency injection and inversion of control patterns, using Unity to resolve dependencies and decouple classes. The document provides examples of constructor injection, property injection, and lifetime managers in Unity. It concludes by noting some limitations of Unity and references for further reading.
This publication provides an innovative approach to documenting BDD-based test automation projects.
In particular, it introduces the BddDocumenter tool which merges the Business and Developer/(Test Automater) views of a test automation codebase into consistent and fluent documentation. Both the BDD statements and the Step Definition code can be changed as required, the new documentation can be easily regenerated.
Builder Design Pattern (Generic Construction -Different Representation)Sameer Rathoud
Generic Construction -Different Representation
This presentation provide information to understand builder design pattern, it’s structure, it’s implementation.
Learn how to leverage functional concepts of Partial Application and Function Composition for Dependency Injection in C#. This is to achieve Simplicity.
This document provides an overview of Hibernate and how to configure it. It discusses the basics of Hibernate including its architecture, advantages over JDBC, differences from EJB, and how to download, configure, and map classes in Hibernate. Specific topics covered include the SessionFactory interface, mapping classes to tables using XML files, common properties in hibernate.cfg.xml like the database driver and dialect, and how Hibernate handles object-relational impedance mismatch.
Analyzing source code of WPF examples by the Infragistics CompanyPVS-Studio
We continue analyzing various C# projects in order to show the abilities of the static code analyzer, PVS-Studio. In this article, we are providing analysis results of WPF examples by the Infragistics Company. Infragistics is a major software vendor, founded in 1989. It gained popularity mainly through the development of enterprise-ready user interface toolsets for developers, which are run on all platforms, including .NET.
This is a Introduction to Object Oriented (OO) Concepts, Java Programming Language and leveraging Eclipse (IBM WebSphere) to develop Java applications.
This is based on JDK 1.4 concepts/features. A newer version maybe provided at a future date.
Learning MVC Part 3 Creating MVC Application with EntityFrameworkAkhil Mittal
This document discusses connecting an existing MVC application to a database using Entity Framework instead of LINQ to SQL. It provides steps to generate an Entity Data Model from an existing database, generate strongly typed entity classes, and modify the application's controllers to use the Entity Framework context instead of the LINQ to SQL context. The key steps are: 1) Adding an Entity Data Model file and generating entity classes; 2) Modifying controllers to use the Entity Framework context instead of LINQ to SQL; 3) Binding views to the generated entity classes. The document emphasizes that Entity Framework automates CRUD operations and allows focusing on business logic rather than data access code.
EJB 3.0 simplifies Java EE application development by reducing the number of required interfaces and classes. It utilizes annotations for configuration and dependency injection to reduce boilerplate code. The new persistence API allows entities to be simple POJOs and supports pluggable providers. Existing EJB 2.1 applications continue to work with EJB 3.0, and migration can be done incrementally to reduce the number of files and lines of code.
How to implement dependency injection in c#Priyank Mittal
This slide explains the usage of dependency injection in order to write more precise code.
More Details: https://www.loginworks.com/technical-blogs/implement-dependency-injection-c/
The document discusses the differences between design principles, design patterns, inversion of control (IoC), and dependency injection (DI). It begins by defining design principles as high-level guidelines that do not provide implementation details, while design patterns provide low-level implementation solutions to common problems. It then clarifies the relationships between IoC, the dependency inversion principle, DI, and IoC containers. Specifically, IoC is a design principle, the dependency inversion principle helps achieve loose coupling, DI is a pattern that implements IoC, and IoC containers automate DI. The document uses examples to illustrate how to apply these concepts to achieve loosely coupled class designs.
This document provides an overview of dependency injection in .NET, including:
- The SOLID principles and examples demonstrating each principle
- An overview of the Inversion of Control (IoC) pattern and Dependency Injection (DI)
- Service lifetimes in DI and the .NET dependency injection container
- The four main DI patterns: constructor injection, property injection, method injection, and ambient context injection
- Demos showing examples of implementing IoC and each DI pattern
This article provides a comparison of the Classic (Cucumber/Gherkin) and Technical (Karate/Gherkin) uses of the BDD style. It turns out that they are very complimentary.
The document introduces the Spring framework. It discusses that Spring is a popular open-source framework that aims to simplify Java application development. It enables using simple Java objects and loose coupling. The document then explores the Spring architecture including its core modules like beans, AOP, ORM etc. It also discusses Spring containers like bean factory and application context that manage application objects and dependencies.
Mahika Tutorials sharing Java Spring Framework Tutorials. You can visit our YouTube Page for Video Session also : https://www.youtube.com/c/mahikatutorials
This document describes a UI testing pattern using React, Material-UI, BDD with Cucumber, and Kotlin/Selenide. It utilizes the Se34 page object generator to generate page object classes from metadata. This separates page representation from test logic for improved maintenance. Tests are defined in BDD style and cover use cases like login, account creation, and password recovery. Page objects and step definitions enable clear and maintainable automation code. Test results are output to the console.
Babble article - Test Automation & Text TranslationDavid Harrison
This article shows a pattern for Test Automation that embraces the testing (validation) of web applications that allow different spoken languages (EN, IT etc). It also presents a novel way of writing BDD statements that improves the Test Automation development and maintenance process.
The Factory Method pattern defines an interface for creating objects but lets subclasses decide which class to instantiate. It provides a way to delegate object instantiation to subclasses. For example, a hotel front desk acts as a factory by creating the appropriate type of room object based on a customer's needs. The pattern involves a Creator class with a factory method that returns a Product object, while ConcreteCreator subclasses override the method to instantiate a ConcreteProduct. This decouples client code from the instantiation process and makes a system extensible to new product types.
Luis Valencia will give a presentation on applying Typescript design patterns to React/SPFx. He has 17 years of experience including 10 years in SharePoint. The session will focus on writing clean, maintainable code and not flashy user interfaces. It will cover common design patterns like singleton, abstract factory, builder, and factory method. It will also discuss SOLID principles and building shared code libraries. The presentation aims to teach developers how to write code that is easy for others to maintain.
The document discusses dependency injection and inversion of control principles using the Microsoft Unity framework. It begins by describing problems with rigid and fragile code that is difficult to maintain and change. It then covers dependency injection and inversion of control patterns, using Unity to resolve dependencies and decouple classes. The document provides examples of constructor injection, property injection, and lifetime managers in Unity. It concludes by noting some limitations of Unity and references for further reading.
This publication provides an innovative approach to documenting BDD-based test automation projects.
In particular, it introduces the BddDocumenter tool which merges the Business and Developer/(Test Automater) views of a test automation codebase into consistent and fluent documentation. Both the BDD statements and the Step Definition code can be changed as required, the new documentation can be easily regenerated.
Builder Design Pattern (Generic Construction -Different Representation)Sameer Rathoud
Generic Construction -Different Representation
This presentation provide information to understand builder design pattern, it’s structure, it’s implementation.
Learn how to leverage functional concepts of Partial Application and Function Composition for Dependency Injection in C#. This is to achieve Simplicity.
This document provides an overview of Hibernate and how to configure it. It discusses the basics of Hibernate including its architecture, advantages over JDBC, differences from EJB, and how to download, configure, and map classes in Hibernate. Specific topics covered include the SessionFactory interface, mapping classes to tables using XML files, common properties in hibernate.cfg.xml like the database driver and dialect, and how Hibernate handles object-relational impedance mismatch.
Analyzing source code of WPF examples by the Infragistics CompanyPVS-Studio
We continue analyzing various C# projects in order to show the abilities of the static code analyzer, PVS-Studio. In this article, we are providing analysis results of WPF examples by the Infragistics Company. Infragistics is a major software vendor, founded in 1989. It gained popularity mainly through the development of enterprise-ready user interface toolsets for developers, which are run on all platforms, including .NET.
This is a Introduction to Object Oriented (OO) Concepts, Java Programming Language and leveraging Eclipse (IBM WebSphere) to develop Java applications.
This is based on JDK 1.4 concepts/features. A newer version maybe provided at a future date.
Learning MVC Part 3 Creating MVC Application with EntityFrameworkAkhil Mittal
This document discusses connecting an existing MVC application to a database using Entity Framework instead of LINQ to SQL. It provides steps to generate an Entity Data Model from an existing database, generate strongly typed entity classes, and modify the application's controllers to use the Entity Framework context instead of the LINQ to SQL context. The key steps are: 1) Adding an Entity Data Model file and generating entity classes; 2) Modifying controllers to use the Entity Framework context instead of LINQ to SQL; 3) Binding views to the generated entity classes. The document emphasizes that Entity Framework automates CRUD operations and allows focusing on business logic rather than data access code.
EJB 3.0 simplifies Java EE application development by reducing the number of required interfaces and classes. It utilizes annotations for configuration and dependency injection to reduce boilerplate code. The new persistence API allows entities to be simple POJOs and supports pluggable providers. Existing EJB 2.1 applications continue to work with EJB 3.0, and migration can be done incrementally to reduce the number of files and lines of code.
How to implement dependency injection in c#Priyank Mittal
This slide explains the usage of dependency injection in order to write more precise code.
More Details: https://www.loginworks.com/technical-blogs/implement-dependency-injection-c/
The document discusses the differences between design principles, design patterns, inversion of control (IoC), and dependency injection (DI). It begins by defining design principles as high-level guidelines that do not provide implementation details, while design patterns provide low-level implementation solutions to common problems. It then clarifies the relationships between IoC, the dependency inversion principle, DI, and IoC containers. Specifically, IoC is a design principle, the dependency inversion principle helps achieve loose coupling, DI is a pattern that implements IoC, and IoC containers automate DI. The document uses examples to illustrate how to apply these concepts to achieve loosely coupled class designs.
This document provides an overview of dependency injection in .NET, including:
- The SOLID principles and examples demonstrating each principle
- An overview of the Inversion of Control (IoC) pattern and Dependency Injection (DI)
- Service lifetimes in DI and the .NET dependency injection container
- The four main DI patterns: constructor injection, property injection, method injection, and ambient context injection
- Demos showing examples of implementing IoC and each DI pattern
The document discusses several design patterns including Inversion of Control (IoC), Dependency Injection (DI), Repository pattern, and Unit of Work pattern. IoC is a design principle that inverts control of object creation and dependencies to achieve loose coupling. Dependency Injection is a pattern that implements IoC by allowing dependent objects to be created outside of a class. The Repository pattern abstracts data access logic from business logic. The Unit of Work pattern groups multiple data transactions into a single transaction.
The document discusses Spring IOC and DAO. It provides an overview of Spring framework, Inversion of Control (IOC) and Dependency Injection in Spring. It also describes how Spring supports data access with JDBC Template and DAO implementations. The JDBC Template simplifies JDBC usage and avoids common errors by providing callback interfaces for writing and reading database operations. Spring DAO classes can extend support classes to get a JDBC or Hibernate template based on the persistence mechanism.
In this Java Spring Training session, you will learn Spring – Inversion of Control, Dependency Injection and Bean definitions. Topics covered in this session are:
For more information, visit this link:
Spring Framework
• Core Container
• Data Access/Integration
• Web Layer
• Spring Setup
• Key features
• Spring Bean
• Dependency Injection
• Relation between DI and IoC
• Spring IoC Containers
• Spring DI
https://www.mindsmapped.com/courses/software-development/spring-fundamentals-learn-spring-framework-and-spring-boot/
Session 43 - Spring - Part 1 - IoC DI BeansPawanMM
In this session you will learn:
1.Spring Framework
2. Core Container
3. Data Access/Integration
4. Web Layer
5. Spring Setup
6. Key features
7. Spring Bean
8. Dependency Injection
9. Relation between DI and IoC
10. Spring IoC Containers
11. Spring DI
Building Web Application Using Spring FrameworkEdureka!
The document provides an overview of the Spring framework and how to build web applications using Spring. It discusses key Spring concepts like dependency injection, Spring MVC architecture, and exception handling. It also lists contact details for queries and the course objectives, which are to understand the Spring architecture, dependency injection, Spring MVC, exception handling, and how to build a web application with Spring.
The document discusses the dependency inversion principle, which states that high-level modules should not depend on low-level modules, but that both should depend on abstractions. It also discusses inversion of control and dependency injection, which help to decouple modules and make them less dependent on specific implementations. The use of a dependency injection container can help manage object lifecycles and dependencies between classes.
This document introduces Google Guice, a dependency injection framework. It discusses dependency injection, benefits like separation of concerns and easier testing. It also covers disadvantages like potential maintenance issues. The document explores the Guice API including Injector, Module, Binder and different types of bindings like linked, annotated, instance and constructor bindings. It provides a simple example using traits, classes and annotations to demonstrate dependency injection with Guice. References for more information on Guice and dependency injection are also included.
Design Patterns in ZK: Java MVVM as Model-View-BinderSimon Massey
This document discusses different patterns for separating the view, model, and controller/presenter layers in a ZK application. It describes the MVP, MVC, and MVVM/MVB patterns and compares their approaches. It provides best practices for implementing each layer, such as avoiding business logic in the view and using databinding to sync the view and model. The document emphasizes that the view model pattern focuses on separating application state and behavior from the view using databinding annotations.
This document discusses building rich web applications using ASP.NET MVC 2. It includes 4 exercises:
1. Adding metadata attributes to model entities to help render them in views. This includes attributes like DisplayName and DataType.
2. Modifying markup in a view to make use of new strongly-typed HTML helpers like LabelFor and DisplayFor.
3. Creating a metadata class to store attributes for rendering an activity entity, including using the MetadataType attribute.
4. Learning how to use templates in ASP.NET MVC 2 to help render model properties, including creating a template for the activity rating property.
The document discusses the Spring Framework, an open source application framework for Java. It provides inversion of control and dependency injection to manage application objects. The core package provides dependency injection while other packages provide additional features like transaction management, ORM integration, AOP, and MVC web development. The framework uses an IoC container to manage application objects called beans through configuration metadata.
This document contains 27 interview questions and answers about AngularJS. It discusses key concepts like directives, data binding, scopes, services, controllers and filters. Some common directives mentioned are ng-model, ng-repeat and ng-show. The advantages of AngularJS include support for MVC pattern, two-way data binding, animations and dependency injection.
AngularJS is an open-source JavaScript framework that assists with building single-page applications using Model-View-Controller architecture. It uses two-way data binding between models and views, and its directives and filters help manipulate DOM elements and format data for display. AngularJS implements dependency injection to modularize code and make components reusable. Scopes in AngularJS act as containers for models and facilitate inheritance between parent and child scopes.
Get up to speed and level up your skills so we can understand core concepts and develop complex web applications more effectively.
Plunkers to check out:
Scope
http://plnkr.co/edit/wruApVb8kh1tttJwkQAP?p=preview
Two-way data binding & ngModel
http://plnkr.co/edit/yJ1jKHO1dpkfsVbMKBu9?p=preview
ngRepeat Directive
http://plnkr.co/edit/Fe5GvSmFQNnsWjUW0qeu?p=preview
Filters & ngModel
http://plnkr.co/edit/eIr8Ajzi9zPo5PA8U7nk?p=preview
Login Service
http://plnkr.co/edit/hf1WxgMr9u1HVQuGv1l6?p=preview
Services used to communicate between controllers
http://plnkr.co/edit/I1rBFI?p=preview
Service vs provider vs factory
http://plnkr.co/edit/kh1YsJmcozzSSqur20Zt?p=preview
Routes
http://plnkr.co/edit/UZRpIHdtmQJgOmCquLQ3?p=preview
Guice is a lightweight dependency injection framework for Java that allows configuring object bindings through modules. With Guice, classes declare their dependencies through constructor or field injection using the @Inject annotation rather than looking them up directly through factories. This improves testability. Modules map interfaces to implementations using a fluent binding API. At runtime, Guice uses this configuration to satisfy injection points. This reduces boilerplate code compared to manually wiring dependencies.
Guice is a lightweight dependency injection framework for Java that allows configuring object bindings through modules. With Guice, classes declare their dependencies through constructor or field injection using the @Inject annotation rather than looking them up directly through factories. This improves testability. Modules map interfaces to implementations using a fluent binding API. At runtime, Guice uses this configuration to satisfy injection points. This reduces boilerplate code compared to manually wiring dependencies.
This paper’s aim is to point out the RAD ( Rapid application development) elements present in the Microsoft’s MVC 3 and WCF 4.0 using Microsoft Visual Studio 2010. It will describe why creating a new web application using MVC 3 and WCF 4.0 is a easy and fast and also present simple ways to develop such applications.
This document discusses the differences between interfaces and abstract classes in software development. It explains that interfaces define a contract that implementing classes must follow, while abstract classes can provide default functionality for subclasses. The key differences are that interfaces cannot contain method implementations, but abstract classes can, and changing an interface can break implementing classes, while extending an abstract class allows inheriting new functionality. It provides examples of when each would be preferable, such as using interfaces for unrelated classes and abstract classes for closely related subclasses that share common behavior.
This document provides an introduction to LINQ (Language Integrated Query). LINQ allows querying over various data sources using a common SQL-like syntax. It introduces key LINQ concepts like LINQ to Objects, LINQ to SQL, LINQ to XML and language features in .NET that support LINQ like lambda expressions and extension methods. The document also provides examples of standard query operators and using LINQ to query objects, databases and XML documents.
Rhino Mocks is a .NET mocking framework that allows developers to easily create and setup mock objects to test interactions using unit tests. It generates both mocks, which allow expectations to be set and verified, and stubs, which simply return preset values without verification. The document provides examples of using Rhino Mocks to generate mocks and stubs of interfaces, set expectations on mocks, and verify mock interactions using the AAA (Arrange, Act, Assert) syntax. It also distinguishes between mocks and stubs.
Test-driven development (TDD) involves writing unit tests before writing code to help ensure code quality and avoid omitted tests. The document discusses the NUnit testing framework for .NET, which uses attributes to identify test fixtures, methods, and setup/teardown functionality. It also covers how to write tests using assertions and run tests using the NUnit GUI or console applications.
The document discusses the seven pillars of ASP.NET that differentiated it from previous web development platforms when it was first released. These pillars include: 1) ASP.NET being integrated with the .NET Framework; 2) ASP.NET applications being compiled instead of interpreted; 3) ASP.NET being multilanguage; 4) ASP.NET being hosted by the Common Language Runtime; 5) ASP.NET being object-oriented; 6) ASP.NET supporting all browsers; and 7) ASP.NET having a stateful programming model.
NUnit is a unit testing framework for .NET languages that was initially ported from JUnit. It allows writing and running automated tests for code written in languages like C# and VB.NET. NUnit provides features like assertions to validate expected outcomes and attributes to organize and categorize tests. It also displays results of test runs to indicate successes or failures.
WCF (Windows Communication Foundation) is Microsoft's latest service-oriented architecture technology for building distributed applications. It provides a common platform for all .NET communication and is the successor to previous message distribution technologies. WCF allows developers to build service-oriented applications and exposes endpoints that define the address, binding, and contract for communicating with clients. Endpoints can be configured programmatically or through configuration files and bindings describe how clients will communicate with services. Services in WCF define contracts including service contracts, data contracts, and message contracts. Services can be hosted in different ways including using IIS, self-hosting, Windows Activation Service, or as a Windows service.
The document provides step-by-step instructions for installing SQL Server 2012. It outlines 18 steps to guide the user through the installation process, including inserting the installation media, selecting installation options, accepting license terms, selecting SQL Server features to install, specifying installation directories, and configuring security settings. The instructions recommend selecting default options for things like the SQL Server instance name and service accounts. Once configuration is complete, the user clicks install to begin the installation process.
Ajax allows web pages to asynchronously update parts of a page by exchanging data with a web server behind the scenes without reloading the entire page. It uses a combination of technologies like HTML/XHTML, CSS, DOM, XML, JavaScript, and the XMLHttpRequest object. This allows faster and more interactive web applications by reducing the amount of data sent and received.
jQuery is a popular JavaScript library that simplifies HTML document manipulation and event handling. It allows developers to select elements, handle events, perform animations and AJAX calls. jQuery uses CSS selectors to select elements and includes methods for DOM traversal, manipulation, events and effects. It works across browsers and supports plugins for additional functionality.
1. Dependency Injection<br />The dependency injection pattern, also known as Inversion of Control, is one of the most popular design paradigms today. It facilitates the design and implementation of loosely coupled, reusable, and testable objects in your software designs by removing dependencies that often inhibit reuse. Dependency injection can help you design your applications so that the architecture links the components rather than the components linking themselves.<br />This article presents an overview of the dependency injection pattern, the advantages of using dependency injection in your designs, the different types of dependency injection, and the pros and cons of each of these types, with code examples where appropriate.Object Dependency Explained<br />When an object needs another object to operate properly, we say that the former is dependent on the latter. This behavior is transitive in nature. <br />Consider three objects, namely, A, B, and C. <br />If object A is coupled to object B, <br />and B is in turn coupled to C,<br /> then object A is effectively coupled to object C—it is dependent on C.<br /> I've used the terms coupling and dependency interchangeably in this article.Objects can be coupled in two ways: tight coupling and loose coupling. <br />When an object is loosely coupled with another object, you can change the coupling with ease; when the coupling is tight, the objects are not independently reusable and hence are difficult to use effectively in unit test scenarios.Here's an example of tight coupling. Consider two classes, C1 and C2, where C1 is tightly coupled with C2 and requires it to operate. In this case C1 is dependent on C2, as shown below:<br /> public class C2<br /> {<br /> //Some code<br /> }<br /> public class C1<br /> {<br /> C2 bObject = new C2();<br /> //Some code<br /> }<br />The tight coupling between the two classes shown above occurs because C1 (which is dependent on C2) creates and contains an instance of the class C2. It's quot;
tightquot;
because you can eliminate or change the dependency only by modifying the container class (C1). This is where dependency injection fits in.What is Dependency Injection?<br />Dependency injection eliminates tight coupling between objects to make both the objects and applications that use them more flexible, reusable, and easier to test. It facilitates the creation of loosely coupled objects and their dependencies. The basic idea behind Dependency Injection is that you should isolate the implementation of an object from the construction of objects on which it depends. Dependency Injection is a form of the Inversion of Control Pattern where a factory object carries the responsibility for object creation and linking. The factory object ensures loose coupling between the objects and promotes seamless testability.Advantages and Disadvantages of Dependency Injection<br />The primary advantages of dependency injection are: <br />Loose coupling <br />Centralized configuration <br />Easily testable <br />Code becomes more testable because it abstracts and isolates class dependencies.However, the primary drawback of dependency injection is that wiring instances together can become a nightmare if there are too many instances and many dependencies that need to be addressed.<br />Types of Dependency Injection<br />There are three common forms of dependency injection:<br />Constructor Injection <br />Setter Injection <br />Interface-based injection <br />Constructor injection uses parameters to inject dependencies. In setter injection, you use setter methods to inject the object's dependencies. Finally, in interface-based injection, you design an interface to inject dependencies. The following section shows how to implement each of these dependency injection forms and discusses the pros and cons of each.<br />Implementing Constructor Injection<br />I'll begin this discussion by implementing the first type of dependency injection mentioned in the preceding section—constructor injection. Consider a design with two layers; a BusinessFacade layer and the BusinessLogic layer. The BusinessFacade layer of the application depends on the BusinessLogic layer to operate properly. All the business logic classes implement an IBusinessLogic interface.With constructor injection, you'd create an instance of the BusinessFacade class using its argument or parameterized constructor and pass the required BusinessLogic type to inject the dependency. The following code snippet illustrates the concept, showing the BusinessLogic and BusinessFacade classes.<br /> interface IBusinessLogic<br /> {<br /> //Some code<br /> }<br /> <br /> class ProductBL : IBusinessLogic<br /> {<br /> //Some code<br /> }<br /> <br /> class CustomerBL : IBusinessLogic<br /> {<br /> //Some code<br /> }<br /> public class BusinessFacade<br /> {<br /> private IBusinessLogic businessLogic;<br /> public BusinessFacade(IBusinessLogic businessLogic)<br /> {<br /> this.businessLogic = businessLogic;<br /> }<br /> }<br />You'd instantiate the BusinessLogic classes (ProductBL or CustomerBL) as shown below:<br /> IBusinessLogic productBL = new ProductBL();<br />Then you can pass the appropriate type to the BusinessFacade class when you instantiate it:<br /> BusinessFacade businessFacade = new BusinessFacade(productBL);<br />Note that you can pass an instance of either BusinssLogic class to the BusinessFacade class constructor. The constructor does not accept a concrete object; instead, it accepts any class that implements the IBusinessLogic interface.Even though it is flexible and promotes loose coupling, the major drawback of constructor injection is that once the class is instantiated, you can no longer change the object's dependency. Further, because you can't inherit constructors, any derived classes call a base class constructor to apply the dependencies properly. Fortunately, you can overcome this drawback using the setter injection technique.<br />Implementing Setter InjectionSetter injection uses properties to inject the dependencies, which lets you create and use resources as late as possible. It's more flexible than constructor injection because you can use it to change the dependency of one object on another without having to create a new instance of the class or making any changes to its constructor. Further, the setters can have meaningful, self-descriptive names that simplify understanding and using them. Here's an example that adds a property to the BusinessFacade class which you can use to inject the dependency.<br />The following is now our BusinessFacade class with the said property.<br /> public class BusinessFacade<br /> {<br /> private IBusinessLogic businessLogic;<br /> <br /> public IBusinessLogic BusinessLogic<br /> {<br /> get<br /> {<br /> return businessLogic;<br /> }<br /> <br /> set<br /> {<br /> businessLogic = value;<br /> }<br /> }<br /> }<br />The following code snippet illustrates to implement setter injection using the BusinessFacade class shown above.<br /> IBusinessLogic productBL = new ProductBL();<br /> BusinessFacade businessFacade = new BusinessFacade();<br /> businessFacade.BusinessLogic = productBL;<br />The preceding code snippet uses the BusinessLogic property of the BusinessFacade class to set its dependency on the BusinessLogic type.The primary advantage of this design is that you can change the dependency between the BusinessFacade and the instance of BusinessLogic even after instantiating the BusinessFacade class.Even though setter injection is a good choice, its primary drawback is that an object with setters cannot be immutable—and it can be difficult to identify which dependencies are needed, and when. You should normally choose constructor injection over setter injection unless you need to change the dependency after instantiating an object instance, or cannot change constructors and recompile.Implementing Interface InjectionYou accomplish the last type of dependency injection technique, interface injection, by using a common interface that other classes need to implement to inject dependencies. The following code shows an example in which the classes use the IBusinessLogic interface as a base contract to inject an instance of any of the business logic classes (ProductBL or CustomerBL) into the BusinessFacade class. Both the business logic classes ProductBL and CustomerBL implement the IBusinessLogic interface:<br /> interface IBusinessLogic<br /> {<br /> //Some code<br /> }<br /> <br /> class ProductBL : IBusinessLogic<br /> {<br /> //Some code<br /> }<br /> <br /> class CustomerBL : IBusinessLogic<br /> {<br /> //Some code<br /> }<br /> <br /> class BusinessFacade : IBusinessFacade<br /> {<br /> private IBusinessLogic businessLogic;<br /> public void SetBLObject(IBusinessLogic businessLogic)<br /> {<br /> this.businessLogic = businessLogic;<br /> }<br /> }<br />In the code snippet above, the SetBLObject method of the BusinessFacade class accepts a parameter of type IBusinessLogic. The following code shows how you'd call the SetBLObject() method to inject a dependency for either type of BusinessLogic class:<br /> IBusinessLogic businessLogic = new ProductBL();<br /> BusinessFacade businessFacade = new BusinessFacade();<br /> businessFacade.SetBLObject(businessLogic);<br />Or:<br /> IBusinessLogic businessLogic = new CustomerBL();<br /> BusinessFacade businessFacade = new BusinessFacade();<br /> businessFacade.SetBLObject(businessLogic);<br />All three forms of dependency injection discussed in this article passed a reference to a BusinssLogic type rather than an instance of the type by using interfaces. According to Jeremy Weiskotten, a senior software engineer for Kronos:<br />quot;
Coding to well-defined interfaces, particularly when using the dependency injection pattern, is the key to achieving loose coupling. By coupling an object to an interface instead of a specific implementation, you have the ability to use any implementation with minimal change and risk.quot;
<br />Dependency Injection can reduce the coupling between software components and it promises to become the paradigm of choice for designing loosely coupled, maintainable and testable objects. It can be used to abstract the dependencies of an object outside of it and make such objects loosely coupled with each other.<br />