原因如下。这个项目被称为IOC-with-Ninject。您可以下载并使用Visual Studio运行它。这个例子使用了Ninject，但是所有的“new”语句都在一个位置，你可以通过改变使用哪个绑定模块来完全改变应用程序的运行方式。示例的设置使您可以绑定到服务的模拟版本或真实版本。在小型项目中，这可能无关紧要，但在大型项目中，这是一件大事。

先说清楚，我认为他们的优势是: 1)所有新语句位于代码根的一个位置。 2)只做一个改动就完全重构了代码。 3)“酷因素”加分，因为它……:酷。: p

我认为IoC的大部分价值都是通过使用DI获得的。既然你已经这样做了，剩下的好处是递增的。

你得到的值将取决于你正在处理的应用程序的类型:

For multi-tenant, the IoC container can take care of some of the infrastructure code for loading different client resources. When you need a component that is client specific, use a custom selector to do handle the logic and don't worry about it from your client code. You can certainly build this yourself but here's an example of how an IoC can help. With many points of extensibility, the IoC can be used to load components from configuration. This is a common thing to build but tools are provided by the container. If you want to use AOP for some cross-cutting concerns, the IoC provides hooks to intercept method invocations. This is less commonly done ad-hoc on projects but the IoC makes it easier.

我以前写过这样的功能，但如果我现在需要这些功能中的任何一个，我宁愿使用一个预先构建并经过测试的工具，如果它适合我的架构的话。

正如其他人所提到的，您还可以集中配置希望使用的类。虽然这可能是一件好事，但代价是误导和复杂化。大多数应用程序的核心组件都没有被替换，因此很难做出取舍。

我使用IoC容器，并欣赏其功能，但不得不承认我注意到了权衡:我的代码在类级别变得更加清晰，而在应用程序级别变得不那么清晰(即可视化控制流)。

我知道这是一个相当老的帖子，但它似乎仍然相当活跃，我想我可以贡献一些在其他回答中没有提到的观点。

我同意依赖注入的好处，但我更喜欢自己构造和管理对象，使用与Maxm007在回答中概述的模式相似的模式。我发现了使用第三方容器的两个主要问题:

1) Having a 3rd party library manage the lifetime of your objects "automagically" can lend itself to unexpected results. We have found that especially in large projects, you can have vastly more copies of an object than you expect, and more than you would if you were manually managing the lifecycles. I'm sure this varies depending on the framework used, but the problem exists nonetheless. This can also be problematic if your object holds resources, data connections, etc., since the object can sometimes live longer than you expect. So inevitably, IoC containers tend to increase the resource utilization and memory footprint of an application.

2) IoC containers, in my opinion, are a form of "black box programming". I have found that in particular, our less experienced developers tend to abuse them. It allows the programmer to not have to think about how objects should relate to each other or how to decouple them, because it provides them with a mechanism in which they can simply grab any object they want out of thin air. Eg, there may be a good design reason that ObjectA should never know about ObjectB directly, but rather than creating a factory or bridge or service locator, an inexperienced programmer will simply say "no problem, I'll just grab ObjectB from the IoC container". This can actually lead to increased object coupling, which is what IoC is supposed to help prevent.

IoC容器也适用于装入嵌套很深的类依赖项。例如，如果你有以下代码使用依赖注入。

public void GetPresenter()
{
    var presenter = new CustomerPresenter(new CustomerService(new CustomerRepository(new DB())));
}

class CustomerPresenter
{
    private readonly ICustomerService service;
    public CustomerPresenter(ICustomerService service)
    {
        this.service = service;
    }
}

class CustomerService
{
    private readonly IRespository<Customer> repository;
    public CustomerService(IRespository<Customer> repository)
    {
        this.repository = repository;
    }
}

class CustomerRepository : IRespository<Customer>
{
    private readonly DB db;
    public CustomerRepository(DB db)
    {
        this.db = db;
    }
}

class DB { }

如果你把所有这些依赖都加载到一个IoC容器中，你可以解析CustomerService，所有的子依赖都会自动得到解析。

例如:

public static IoC
{
   private IUnityContainer _container;
   static IoC()
   {
       InitializeIoC();
   }

   static void InitializeIoC()
   {
      _container = new UnityContainer();
      _container.RegisterType<ICustomerService, CustomerService>();
      _container.RegisterType<IRepository<Customer>, CustomerRepository>();
   }

   static T Resolve<T>()
   {
      return _container.Resolve<T>();
   }
}

public void GetPresenter()
{
   var presenter = IoC.Resolve<CustomerPresenter>();
   // presenter is loaded and all of its nested child dependencies 
   // are automatically injected
   // -
   // Also, note that only the Interfaces need to be registered
   // the concrete types like DB and CustomerPresenter will automatically 
   // resolve.
}

I'm a recovering IOC addict. I'm finding it hard to justify using IOC for DI in most cases these days. IOC containers sacrifice compile time checking and supposedly in return give you "easy" setup, complex lifetime management and on the fly discovering of dependencies at run time. I find the loss of compile time checking and resulting run time magic/exceptions, is not worth the bells and whistles in the vast majority of cases. In large enterprise applications they can make it very difficult to follow what is going on.

我不相信集中化的说法，因为你可以通过为你的应用程序使用一个抽象工厂，并虔诚地将对象创建推迟到抽象工厂，即进行适当的DI，来非常容易地集中静态设置。

为什么不像这样做静态无魔法DI:

interface IServiceA { }
interface IServiceB { }
class ServiceA : IServiceA { }
class ServiceB : IServiceB { }

class StubServiceA : IServiceA { }
class StubServiceB : IServiceB { }

interface IRoot { IMiddle Middle { get; set; } }
interface IMiddle { ILeaf Leaf { get; set; } }
interface ILeaf { }

class Root : IRoot
{
    public IMiddle Middle { get; set; }

    public Root(IMiddle middle)
    {
        Middle = middle;
    }

}

class Middle : IMiddle
{
    public ILeaf Leaf { get; set; }

    public Middle(ILeaf leaf)
    {
        Leaf = leaf;
    }
}

class Leaf : ILeaf
{
    IServiceA ServiceA { get; set; }
    IServiceB ServiceB { get; set; }

    public Leaf(IServiceA serviceA, IServiceB serviceB)
    {
        ServiceA = serviceA;
        ServiceB = serviceB;
    }
}


interface IApplicationFactory
{
    IRoot CreateRoot();
}

abstract class ApplicationAbstractFactory : IApplicationFactory
{
    protected abstract IServiceA ServiceA { get; }
    protected abstract IServiceB ServiceB { get; }

    protected IMiddle CreateMiddle()
    {
        return new Middle(CreateLeaf());
    }

    protected ILeaf CreateLeaf()
    {
        return new Leaf(ServiceA,ServiceB);
    }


    public IRoot CreateRoot()
    {
        return new Root(CreateMiddle());
    }
}

class ProductionApplication : ApplicationAbstractFactory
{
    protected override IServiceA ServiceA
    {
        get { return new ServiceA(); }
    }

    protected override IServiceB ServiceB
    {
        get { return new ServiceB(); }
    }
}

class FunctionalTestsApplication : ApplicationAbstractFactory
{
    protected override IServiceA ServiceA
    {
        get { return new StubServiceA(); }
    }

    protected override IServiceB ServiceB
    {
        get { return new StubServiceB(); }
    }
}


namespace ConsoleApplication5
{
    class Program
    {
        static void Main(string[] args)
        {
            var factory = new ProductionApplication();
            var root = factory.CreateRoot();

        }
    }

    //[TestFixture]
    class FunctionalTests
    {
        //[Test]
        public void Test()
        {
            var factory = new FunctionalTestsApplication();
            var root = factory.CreateRoot();
        }
    }
}

容器配置是抽象工厂实现，注册是抽象成员的实现。 如果您需要一个新的单例依赖项，只需向抽象工厂添加另一个抽象属性即可。如果你需要一个瞬态依赖，只需添加另一个方法并将其作为Func<>注入即可。

优点:

所有的设置和对象创建配置都是集中的。 配置只是代码 编译时检查使其易于维护，因为您不会忘记更新注册。 没有运行时反射魔法

我建议持怀疑态度的人尝试下一个新项目，诚实地问问自己什么时候需要这种容器。稍后很容易引入IOC容器，因为您只是用IOC容器配置模块替换了一个工厂实现。

我只是碰巧正在把自己生长的DI代码拉出来，并用IOC替换它。我可能已经删除了200多行代码，用大约10行代码替换了它。是的，我必须学习如何使用容器(Winsor)，但我是一名在21世纪从事互联网技术工作的工程师，所以我已经习惯了。我大概花了20分钟看了一下怎么做。这很值得我花时间。