How can we verify logic independently when
code it depends on is unusable?
How can we avoid Slow
Tests
?
We
replace a component on which the SUT depends with a "test-specific
equivalent."
Sketch Test Double embedded from Test Double.gif
Sometimes it is just plain hard to test the system
under test (SUT)
because it depends on
other components that cannot be used in the test environment. This
could be
because they aren't available, they will not return the results
needed for the
test or because executing them would have undesirable side effects.
In other
cases, our test strategy requires us to have more control or
visibility of the
internal behavior of the SUT
.
When we are writing a test in which we cannot (or chose not to) use a
real
depended-on
component (DOC)
, we can replace it with a Test Double
. The Test
Double
doesn't have to behave
exactly like the real DOC
; it merely has to provide the same API as
the real
one so that the SUT thinks
it is the
real one!
How It Works
When the movie industry wants to film something that is potentially
risky or
dangerous for the leading actor to carry out, they hire a "stunt
double" to take
the place of the actor in the scene. The stunt double is a highly
trained
individual who is capable of meeting the specific requirements of the
scene.
They may not be able to act, but they know how to fall from great
heights, crash
a car, or whatever the scene calls for. How closely the stunt double
needs to
resemble the actor depends on the nature of the scene. Usually,
things can be
arranged such that someone who vaguely resembles the actor in stature
can take
their place.
For testing purposes, we can replace the real DOC
(not the SUT
!)
with
our
equivalent of the "stunt double":
the Test Double
. During the
fixture setup
phase of our Four-Phase Test
(page X)
, we
replace the real DOC
with our Test Double
. Depending on
the kind of test we are
executing, we may hard-code the behavior of the Test Double
or
we may configure it
during the setup phase. When the SUT
interacts with the Test Double
, it won't be
aware that it isn't talking to the real McCoy, but we will have
achieved our
goal of making impossible tests possible.
Regardless of which of the variations of Test Double
we choose
to use, we must
keep in mind that we don't need to implement the whole interface of
the DOC
.
We only provide whatever functionality is needed for our particular
test. We can
even build different Test Doubles
for different tests that
involve the same
DOC
.
When To Use It
There are several different circumstances in which we might want to
use some
sort of Test Double
during our tests.
Each of these can be addressed in some way by using a Test Double
.
But we have to
be careful when using Test Doubles
because we are testing the SUT
in
a different
configuration from that which will be used in production. So we
really should
have at least one test that verifies it works without a Test
Double
. WE need to be
careful that we don't replace the parts of the SUT
that we are trying to
verify as this can result in tests that test the wrong software!
Also, excessive
use of Test Doubles
can result in Fragile
Tests
(page X)
as a result
of
Overspecified Software
.
Test Doubles
come in several main flavors as summarized in the
following
diagram. The implementation variations of these patterns are
described in more
detail in the corresponding pattern write-ups.
Sketch Types Of Test
Doubles embedded from Types Of Test Doubles.gif
These variations are classified based on how/why we use
the
Test Double
. I'll deal with variations around how we build
the
Test Doubles
in the "Implementation" section below.
Variation: Test Stub
We use a Test Stub
(page X)
to replace a real component on which the
SUT
depends so that the test has a control
point
for the
indirect inputs
of the SUT
.
This allows the test to force
the SUT
down paths it might not otherwise execute
Some people use the term "Test Stub" to mean a temporary
implementation
that is used only until the real object or procedure is available. I
prefer
to call this a Temporary Test Stub
(see Test Stub)
to
avoid confusion.
Variation: Test Spy
We can use a more capable version of a Test
Stub
, the
Test Spy
(page X)
,
as an observation point
for
the indirect outputs
of the SUT
.
Like a Test Stub
, the Test Spy
may need to
provide values to the SUT
in
response to method calls but the Test Spy
also captures the indirect outputs
of the SUT
as
it is exercised and saves them for
later
verification by the test. So in
many ways the Test Spy
is "just a" Test
Stub
with some
recording capability. While it is used for the same fundamental
purpose as a
Mock Object
(page X)
,
the style of test we write using a Test Spy
looks much more like a test written with a Test
Stub
.
Variation: Mock Object
We can use a Mock Object
as an observation point
that is used to verify the indirect outputs
of the SUT
as
it is
exercised. Typically, the Mock Object
also includes the
functionality of a
Test Stub
in that it must return values to the SUT
if
it
hasn't already failed the tests but the empha
sis
is on the verification of the indirect outputs
. Therefore, a
Mock Object
is lot more than just a Test
Stub
plus assertions
; it is used a fundamentally different
way.
Variation: Fake Object
We use a Fake Object
(page X)
to replace the functionality of a real
DOC
in a test for reasons other than verification of indirect inputs
and outputs of the SUT
.
Typically, it implements the
same functionality as the real DOC
but
in a much simpler way. While a
Fake Object
is typically built specifically for
testing, it is
not used as either a control
point
or a observation point
by the test.
The most common reason for using a Fake
Object
is that the
real depended-on component is not available yet, is too slow or
cannot be
used in the test environment because of deleterious side effects.
the sidebar Faster Tests Without Shared Fixtures
(page X)
describes how we encapsulated
all
database access behind a persistence layer interface and them
replaced the
database with in-memory hash tables and made our tests run 50 times
faster.
Chapters Test Automation Strategy
and Using Test Doubles
provide an overview of the
various techniques
available for making our SUT
easier to test.
Variation: Dummy Object
Some method signatures of the SUT
may
require objects as parameters. If
neither the test nor the SUT
care about these objects, we may choose to
pass in a Dummy Object
(page
X)
which may be as simple as a null object
reference, an instance of the Object
class
or an instance of a
Pseudo Object
(see Hard-Coded Test Double on page X)
.
In this sense, a Dummy Object
isn't really a
Test Double
per se but rather an alternative to the value
patterns Literal Value
(page
X)
, Derived Value
(page
X)
and Generated Value
(page X)
.
Variation: Procedural Test Stub
A Test Double
implemented in a procedural programming language
is often called
a "Test Stub" but I prefer to call them a Procedural Test Stub
(see Test Stub)
to distinguish them from the modern Test
Stub
variation of
Test Doubles
. Typically, we use them to allow
testing/debugging to proceed while
waiting for other code to become available. It is rare for them to
be
"swapped in" at runtime but sometimes we make the code conditional
on a
"Debugging" flag, a form of Test Logic in Production
(page X)
.
Implementation Notes
There are several considerations when we are building the Test
Double
. These
include:
- Whether the Test Double
should be specific to a single test
or reusable
across many tests
- Whether the Test Double
should exist in code or be generated
on-the-fly,
- How we tell the SUT
to use the Test Double
.
(installation)
I'll address the first and last points here and leave the discussion
about
Test Double
generation to the section on Configurable
Test Doubles
below.
Because the techniques for building the Test Doubles
are
pretty much independent
of their behavior (e.g. they apply to both Test
Stubs
and
Mock Objects
), I've chosen to split out the
descriptions of the
various ways we can build Hard-Coded Test Doubles
and Configurable Test Doubles
(page X)
into separate patterns and I've
just included a
brief summary here.
Variation: Unconfigurable Test Doubles
Neither Dummy Objects
nor Fake
Objects
need
to be configured each for their own reason. Dummies should never be
used by
the receiver so they need no implementation. Fake
Objects
, on
the other hand, need a "real" implementation but one which is much
simpler or
"lighter" than the object which they replace. Therefore, neither the
test nor
the test automater will need to configure "canned" responses or
expectations;
we just install the Test Double
and let the SUT
use
them as if they were
real.
Variation: Hard-Coded Test Double
When we only plan to use a specific Test Double
in a single
test, it is often
simplest to just hard-code the Test Double
to return specific
values (for
Test Stubs
) or expect specific method calls (Mock
Objects
.) Hard-Coded Test Doubles
are typically
hand-built by the test automater
. They come in several forms
including the Self Shunt
(see
Hard-Coded Test Double)
(where
the Testcase Class
(page
X)
acts as the Test Double
), the Anonymous Inner Test Double
(see Hard-Coded Test Double)
(where
language features are used to create the Test Double
inside
the Test Method
(page X)
)
and a Test Double
implemented as separate Test Double Class
(see Hard-Coded Test Double)
. Each of these is discussed in more
detail in
Hard-Coded Test Double
Variation: Configurable Test Double
When we want to use the same Test Double
implementation in
many tests, we will
typically want to use a Configurable Test Double
. These can
also be hand-built by the test automater
but many members of
the xUnit
family have reusable toolkits available
for generating test
doubles.
Installing the Test Double
Before the SUT
can be exercised, we must tell the SUT
to
use the
Test Double
instead of the object it replaces. We can use any
of the substitutable dependency
patterns to install it
during the fixture
setup phase of our Four-Phase Test
. Configurable
Test Doubles
need to be configured before we exercise the
SUT
and we typically do this before we install them.
Example: Test Double
Because there are a wide variety of reasons for using the variations
of
Test Double
it is hard to provide a single example that
characterizes the motivation
behind each style. Please refer to the examples in each of the more
detailed
patterns referenced earlier.
分享到:
相关推荐
double,这是java刚刚学习的java文件
请注意,testdouble-jest需要testdouble@3.6.0和jest@21.0.0或更高版本才能工作。 安装 $ npm i -D testdouble-jest 然后,从测试助手(我们建议设置模块)中,调用该模块并传入td和jest ,如下所示: global . td...
本项目"Double_Pulse_Test.zip"聚焦于实现一个双脉冲发生器,它允许用户自定义两个脉冲的长度以及它们之间的间隔时间。下面将详细阐述这个设计的原理、实现方法以及可能的应用。 **双脉冲发生器的基本概念** 双脉冲...
rspec-mocks 是一个 rspec 的 test-double 框架,支持 method stubs, fakes 和生成 test-doubls 和类似真的对象的预期消息。 标签:rspec
标题"test2_JavaDouble类型比较大小_java编程_"提示我们关注的是Java中`Double`类型的比较操作。通常,我们可能会像处理整数那样直接使用`>`或`来比较两个`Double`值,例如`double a = 0.1; double b = 0.2; if (a +...
- `Convert.ToDouble(test1).ToString("0.00");` - `Convert.ToDouble(test2).ToString("0.00");` - `Convert.ToDouble(test3).ToString("0.00");` 这三行代码展示了如何使用`Convert.ToDouble`将变量转换为`...
标题中的“Test_rem_double.rar_V2”表明这是一个测试资源,可能是用于验证或调试某软件功能的测试用例集。"rar"是文件压缩格式,通常用于打包多个文件或目录,而"V2"则暗示这是该测试资源的第二个版本,可能在前一...
### double计算过程中出现的误差分析 在计算机编程领域,尤其是涉及到数值运算时,经常会遇到由于浮点数表示不精确而导致的计算误差问题。本篇文章将深入探讨在C#、SQL Server以及Oracle数据库中使用`double`类型...
2) Double click (or Open) the downloaded ".exe" file 3) Follow the prompts UnInstallation ============== Use the Windows control panel, Add / Remove Programs Requirements ============ - Operating ...
eNetTest 网管内网单机测速工具eNetTest 网管内网单机测速工具eNetTest 网管内网单机测速工具eNetTest 网管内网单机测速工具eNetTest 网管内网单机测速工具eNetTest 网管内网单机测速工具eNetTest 网管内网单机测速...
(speedtest服务器搭建教程) 本篇教程旨在指导读者搭建speedtest服务器,通过安装PHPStudy、配置WNMP和Nginx、下载并配置speedtest测速平台,实现本地测速功能。 一、 PHPStudy 安装和配置 PHPStudy 是一个集成...
最好用的单元测试工具,除了这里你是找不到9.0版本的破解的。 ... 独立的版本破解: ... 把lic_client.jar复制到 ... c:\Program Files (x86)\Parasoft\Test\9.0\plugins\...这个是:plugins-c++Test For Visual Studio.7z
Modeltest 使用说明 Modeltest 是一个选择核苷酸替代模型的软件,通过和 PAUP 配合使用,可以选择出合适的 MODEL,并同时计算出相关参数。下面是 Modeltest 的使用说明和相关知识点: 一、Modeltest 概述 * Model...
test.dmp test.dmp test.dmp test.dmp
CAN Test V2.53 软件使用说明 CAN Test V2.53 软件是一款功能强大且易用的CAN总线测试工具,旨在帮助用户快速地测试和诊断CAN总线设备。以下是CAN Test V2.53 软件使用说明的详细知识点: 软件安装 CAN Test 软件...
c:\Program Files (x86)\Parasoft\C++test for Visual Studio\9.0\plugins\ 这个目录中 把plugins-Test for Virsual Studio.7z 中的文件覆盖到 c:\Program Files (x86)\Parasoft\Test for Visual Studio\9.0\...
Parasoft C++Test 9.5是一款由Parasoft公司开发的专业自动化白盒测试工具,专注于C++编程语言的测试。它集成了多种测试策略,包括静态代码分析、动态测试、单元测试、代码覆盖率分析以及缺陷预防等功能,旨在提高...
标题“Test_int_to_double.rar_memory”暗示了这是一个关于在内存中处理整数到双精度浮点数转换以及可能与内存管理相关的测试案例。描述提到的“An in-memory cookie store”通常指的是一个存储HTTP Cookie的数据...
**串口调试工具——PortTest详解** 在计算机通信领域,串行端口(Serial Port)是一种常见的硬件接口,用于设备间的通信。PortTest是一款专为串口调试设计的实用工具,它可以帮助用户检测和测试串口通讯功能,确保...
binding_test.gobinding_test.gobinding_test.gobinding_test.gobinding_test.gobinding_test.gobinding_test.gobinding_test.gobinding_test.gobinding_test.gobinding_test.gobinding_test.gobinding_test....