从论文模拟角色，而不是对象，由jMock的开发人员:

存根是返回罐装的产品代码的虚拟实现 结果。Mock对象充当存根，但也包括到的断言 测量目标对象与其邻居的交互作用。

所以，主要的区别是:

在存根上设置的期望通常是通用的，而在mock上设置的期望可能更“聪明”(例如，在第一次调用时返回this，在第二次调用时返回this等)。 存根主要用于设置SUT的间接输入，而mock可用于测试SUT的间接输入和间接输出。

综上所述，同时也试图驱散福勒文章标题中的困惑:mock是存根，但它们不仅仅是存根。

非常清楚和实际:

Stub:实现要伪造的类/对象的方法的类或对象，并且总是返回你想要的东西。

JavaScript示例:

var Stub = {
   method_a: function(param_a, param_b){
      return 'This is an static result';
   }
}

Mock:与存根相同，但是它增加了一些逻辑，当一个方法被调用时“验证”，这样你就可以确定某个实现正在调用该方法。

正如@mLevan所说，假设你正在测试一个用户注册类。在调用Save之后，它应该调用SendConfirmationEmail。

一个非常愚蠢的代码

var Mock = {
   calls: {
      method_a: 0
   }

   method_a: function(param_a, param_b){
     this.method_a++; 
     console.log('Mock.method_a its been called!');
   }
}

前言

有几个对象的定义是不真实的。一般的术语是双重测试。这个术语包括:dummy, fake, stub, mock。

参考

根据Martin Fowler的文章:

Dummy objects are passed around but never actually used. Usually they are just used to fill parameter lists. Fake objects actually have working implementations, but usually take some shortcut which makes them not suitable for production (an in memory database is a good example). Stubs provide canned answers to calls made during the test, usually not responding at all to anything outside what's programmed in for the test. Stubs may also record information about calls, such as an email gateway stub that remembers the messages it 'sent', or maybe only how many messages it 'sent'. Mocks are what we are talking about here: objects pre-programmed with expectations which form a specification of the calls they are expected to receive.

风格

模拟vs存根=行为测试vs状态测试

原则

根据每个测试只测试一件事的原则，一个测试中可能有几个存根，但一般只有一个mock。

生命周期

使用存根测试生命周期:

准备正在测试的对象和它的存根合作者。 锻炼——测试功能。 验证状态——使用断言来检查对象的状态。 Teardown -清理资源。

使用mock测试生命周期:

设置数据-准备正在测试的对象。 设置期望-在mock中准备主对象使用的期望。 锻炼——测试功能。 验证期望——验证在mock中调用了正确的方法。 验证状态——使用断言来检查对象的状态。 Teardown -清理资源。

总结

模拟测试和存根测试都给出了这个问题的答案:结果是什么?

使用模拟进行测试也感兴趣:结果是如何实现的?

Stubs vs. Mocks Stubs provide specific answers to methods calls ex: myStubbedService.getValues() just return a String needed by the code under test used by code under test to isolate it cannot fail test ex: myStubbedService.getValues() just returns the stubbed value often implement abstract methods Mocks "superset" of stubs; can assert that certain methods are called ex: verify that myMockedService.getValues() is called only once used to test behaviour of code under test can fail test ex: verify that myMockedService.getValues() was called once; verification fails, because myMockedService.getValues() was not called by my tested code often mocks interfaces

他使用的通用术语是测试替身(想想特技替身)。Test Double是一个通用术语，用于为测试目的替换生产对象的任何情况。杰拉德列出了各种各样的替身:

Dummy objects are passed around but never actually used. Usually they are just used to fill parameter lists. Fake objects actually have working implementations, but usually take some shortcut which makes them not suitable for production (an InMemoryTestDatabase is a good example). Stubs provide canned answers to calls made during the test, usually not responding at all to anything outside what's programmed in for the test. Spies are stubs that also record some information based on how they were called. One form of this might be an email service that records how many messages it was sent(also called Partial Mock). Mocks are pre-programmed with expectations which form a specification of the calls they are expected to receive. They can throw an exception if they receive a call they don't expect and are checked during verification to ensure they got all the calls they were expecting.

源

在我的回答中，我使用了python示例来说明差异。

Stub - Stubbing is a software development technique used to implement methods of classes early in the development life-cycle. They are used commonly as placeholders for implementation of a known interface, where the interface is finalized or known but the implementation is not yet known or finalized. You begin with stubs, which simply means that you only write the definition of a function down and leave the actual code for later. The advantage is that you won't forget methods and you can continue to think about your design while seeing it in code. You can also have your stub return a static response so that the response can be used by other parts of your code immediately. Stub objects provide a valid response, but it's static no matter what input you pass in, you'll always get the same response:

class Foo(object):
    def bar1(self):
        pass

    def bar2(self):
        #or ...
        raise NotImplementedError

    def bar3(self):
        #or return dummy data
        return "Dummy Data"

模拟对象用于模拟测试用例，它们验证在这些对象上调用了某些方法。模拟对象是以可控的方式模拟真实对象行为的模拟对象。您通常创建一个模拟对象来测试其他对象的行为。mock让我们模拟对于单元测试来说不可用或太笨重的资源。

mymodule.py:

import os
import os.path

def rm(filename):
    if os.path.isfile(filename):
        os.remove(filename)

test.py:

from mymodule import rm
import mock
import unittest

class RmTestCase(unittest.TestCase):
    @mock.patch('mymodule.os')
    def test_rm(self, mock_os):
        rm("any path")
        # test that rm called os.remove with the right parameters
        mock_os.remove.assert_called_with("any path")

if __name__ == '__main__':
    unittest.main()

这是一个非常基本的示例，它只运行rm并断言调用它的参数。您可以对对象使用mock，而不仅仅是这里所示的函数，您还可以返回一个值，这样模拟对象就可以用来替换存根进行测试。

更多关于unittest的信息。模拟，注意python 2。X mock不包含在unittest中，但它是一个可下载的模块，可以通过PIP (PIP install mock)下载。

我还读过Roy Osherove写的《单元测试的艺术》，我认为如果有一本类似的书是用Python和Python示例编写的，那就太棒了。如果有人知道这样的书，请分享。欢呼:)