Before writing this post, I am assuming that you know the basics of junit. If you do not have the basic knowledge, first read this link. Further, in this post, I will write the best practices you must consider before writing your test cases.
Table of Contents: Unit testing is not about finding bugs Tips for writing great unit tests Test only one code unit at a time Don’t make unnecessary assertions Make each test independent to all the others Mock out all external services and state Don’t unit-test configuration settings Name your unit tests clearly and consistently Write tests for methods that have the fewest dependencies first, and work your way up All methods, regardless of visibility, should have appropriate unit tests Aim for each unit test method to perform exactly one assertion Create unit tests that target exceptions Use the most appropriate assertion methods. Put assertion parameters in the proper order Ensure that test code is separated from production code Do not print anything out in unit tests Do not use static members in a test class Do not write your own catch blocks that exist only to fail a test Do not rely on indirect testing Integrate Testcases with build script Do not skip unit tests Capture results using the XML formatter Summary
In programming, “Unit testing is a method by which individual units of source code are tested to determine if they are fit for use.” Now, this unit of source code can very on different scenarios.
For example: in procedural programming a unit could be an entire module but is more commonly an individual function or procedure. In object-oriented programming a unit is often an entire interface, such as a class, but could be an individual method. Intuitively, one should view a unit as the smallest testable part of an application.
Unit testing is not about finding bugs
Well, its important to understand the motive behind unit testing. Unit tests are not an effective way to find bugs or detect regressions. Unit tests, by definition, examine each unit of your code separately. But when your application is run for real, all those units have to work together, and the whole is more complex and subtle than the sum of its independently-tested parts. Proving that components X and Y both work independently doesn’t prove that they’re compatible with one another or configured correctly.
So, if you’re trying to find bugs, it’s far more effective to actually run the whole application together as it will run in production, just like you naturally do when testing manually. If you automate this sort of testing in order to detect breakages when they happen in the future, it’s called integration testing and typically uses different techniques and technologies than unit testing.
“Essentially, Unit testing should be seen as part of design process, as it is in TDD (Test Driven Development)”. This should be used to support the design process such that designer can identify each smallest module in the system and test it separately.
Tips for writing great unit tests
Test only one code unit at a time
First of all and perhaps most important. When we try to test a unit of code, this unit can have multiple use cases. We should always test each use case in separate test case. For example, if we are writing test case for a function which is supposed to take two parameters and should return a value after doing some processing, then different use cases might be:
- First parameter can be null. It should throw Invalid parameter exception.
- Second parameter can be null. It should throw Invalid parameter exception.
- Both can be null. It should throw Invalid parameter exception.
- Finally, test the valid output of function. It should return valid pre-determined output.
This helps when you do some code changes or do refactoring then to test that functionality has not broken, running the test cases should be enough. Also, if you change any behavior then you need to change single or least number of test cases.
Don’t make unnecessary assertions
Remember, unit tests are a design specification of how a certain behavior should work, not a list of observations of everything the code happens to do.
Make each test independent to all the others
Do not make chain of unit test cases. It will prevent you to identify the root cause of test case failures and you will have to debug the code. Also, it creates dependency, means if you have to change one test case then you need to make changes in multiple testcases unnecessarily.
Try to use @Before and @After methods to setup per-requisites if any for all your test cases. If you need to multiple things to support different test cases in @Before or @After, then consider creating new Test class.
Mock out all external services and state
Otherwise, behavior in those external services overlaps multiple tests, and state data means that different unit tests can influence each other’s outcome. You’ve definitely taken a wrong turn if you have to run your tests in a specific order, or if they only work when your database or network connection is active.
Also, this is important because you would not love to debug the test cases which are actually failing due to bugs in some external system.
(By the way, sometimes your architecture might mean your code touches static variables during unit tests. Avoid this if you can, but if you can’t, at least make sure each test resets the relevant statics to a known state before it runs.)
Don’t unit-test configuration settings
By definition, your configuration settings aren’t part of any unit of code (that’s why you extracted the setting out in some properties file). Even if you could write a unit test that inspects your configuration, then write only single or two test cases for verifying that configuration loading code is working and that’s all.
Name your unit tests clearly and consistently
Well, this is perhaps most important point to keep remember and keep following. You must name your testcases on what they actually do and test. Testcase naming convention which uses class names and method names for testcases name, is never a good idea. Every time you change the method name or class name, you will end up updating a lot of test cases as well.
But, if your test cases names are logical i.e. based on operations then you will need almost no modification because most possibly application logic will remain same.
E.g. Test case names should be like:
Write tests for methods that have the fewest dependencies first, and work your way up
This principle says that if your are testing Employee module than you should first test Create Employee module as it has minimum dependency on external test cases. Once they are done, start writing Modify Employee test cases as they need some employee to be in database.
All methods, regardless of visibility, should have appropriate unit tests
Well, this is controversial indeed. You need to look for most critical portions of your code and you should test them without worrying if they are even private. These methods can have certain critical algorithm called from one or two classes, but they play important part. You would like to be sure that they work as intended.
Aim for each unit test method to perform exactly one assertion
Even this is not a thumb rule then also you should try to test only one thing in one test case. Do not test multiple things using assertions in single test case. This way, if some test case fails, you know exactly what went wrong.
Create unit tests that target exceptions
If some of your test cases, which expect the exceptions to be thrown from application, use “expected” attribute like this. try avoiding catching exception in catch block and using fail/ or asset method to conclude the test.
Use the most appropriate assertion methods
Put assertion parameters in the proper order
Assert methods takes usually two parameters. One is expected value and second is original value. Pass them in sequence as they are needed. This will help in correct message parsing if something goes wrong.
Ensure that test code is separated from production code
Do not print anything out in unit tests
If you are correctly following all the guidelines, then you will never need to add any print statement in your test cases. If you feel like having one, revisit your test case(s), you have done something wrong.
Do not use static members in a test class. If you have used then re-initialize for each test case
We already have stated that each test case should be independent of each other, so there shall never be a need to have static data members. But, if you need any for critical situation, then remember to re-initialize to its initial value before executing each test case.
Do not write your own catch blocks that exist only to fail a test
If any method in test code throws some exception then do not write a catch block only to catch the exception and fail the test case. Instead, use throws Exception statement in test case declaration itself. I will recommend to use Exception class and do not use specific subclasses of Exception. This will increase the test coverage also.
Do not rely on indirect testing
Integrate Testcases with build script
Its better if you can integrate your test cases with build script so that they will get executed in your production environment automatically. This increases the reliability of application as well as test setup.
Do not skip unit tests
If some test cases are not valid now then remove them from your source code. Do not use @Ignore or svn.test.skip to skip their execution. Having invalid test cases in source code will not help anyone.
Capture results using the XML formatter
It is for feel good factor. It will definitely not bring direct benefit but can make running unit tests interesting and entertaining. You can integrate Junit with ant build script and generate test cases run report in xml format using some color coding also. It is also a good practice to get followed.
Without doubt, unit testing can significantly increase the quality of your project. Many scholars in our industry claim that any unit tests are better than none, but I disagree: a test suite can be a great asset, but bad ones can become equally great burden that contributes little. It depends on the quality of those tests, which seems to be determined by how well its developers have understood the goals and principles of unit testing.
If you understood above guidelines and will try to implement most of then in your next set of testcases, you will certainly feel the difference.
Please let me know of your thoughts.
Happy Learning !!