存根用于您在测试中设置的具有预期返回值的方法。 mock用于void方法，这些方法在调用时的Assert中进行验证。

存根是一个空函数，用于在测试期间避免未处理的异常:

function foo(){}

mock是一个人为的函数，用于避免在测试期间对操作系统、环境或硬件的依赖:

function foo(bar){ window = this; return window.toString(bar); }

在断言和状态方面:

在事件或状态更改之前断言模拟 存根不被断言，它们在事件之前提供状态，以避免执行来自不相关单元的代码 间谍就像存根一样被设置，然后在事件或状态改变后被断言 假的是不断言的，他们运行后的事件硬编码的依赖，以避免状态

参考文献

极客词汇:Mock 极客词汇:存根 极客术语:间谍 测试替身:假的，模拟和存根

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:)

在codeschool.com的课程《Rails僵尸测试》中，他们给出了这些术语的定义:

Stub

用于将方法替换为返回指定结果的代码。

Mock

带有调用方法的断言的存根。

因此，正如Sean Copenhaver在他的回答中所描述的那样，不同之处在于mock设置了期望(即做出断言，关于是否或如何调用它们)。

我在阅读《单元测试的艺术》时，偶然发现了以下定义:

fake是一个通用术语，可以用来描述存根或模拟对象(手写或其他)，因为它们看起来都像真实的对象。赝品是存根还是mock取决于它在当前测试中的使用方式。如果它用于检查交互(根据其断言)，则它是一个模拟对象。否则，它就是存根。

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.

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