Found a good thread on stackoverflow regarding the good unit tests : http://stackoverflow.com/questions/61400/what-makes-a-good-unit-test
Pasting the most important ans from above thread here..
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Good Tests should be A TRIP (The acronymn isn't sticky enough - I have a printout of the cheatsheet in the book that I had to pull out to make sure I got this right..)
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Some of my own from experience(not strict rules that I follow but just guidelines)..
- Whenever writing tests, keep in mind, how much the test code changes if you change the implementation(keeping the interface same) of your method under test. In short, try to test specification as much possible.
- Recently, to abstract away a key-value store, I created an interface, KeyValueDb. In addition to the real key-value store based implementation I wrote another one which is backed by memory. All the code that uses KeyValueDb, I used memory-backed implementation in the unit tests and surprisingly tests look much cleaner than using mock(KeyValueDb). However, mocks are required in some places to create scenarios hard to create otherwise(e.g. socket timeout).
Also, though I don't do T.D.D.[neither Design nor Development], but writing unit tests while/after I am done coding something gives me confidence that it works. It sure helps catch bugs and sometimes results in good method level refactorings .
Not tired of reading yet? Here is another intersting post... http://mike-bland.com/2012/07/10/test-mercenaries.html .
Pasting the most important ans from above thread here..
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Good Tests should be A TRIP (The acronymn isn't sticky enough - I have a printout of the cheatsheet in the book that I had to pull out to make sure I got this right..)
- Automatic : Invoking of tests as well as checking results for PASS/FAIL should be automatic
- Thorough: Coverage; Although bugs tend to cluster around certain regions in the code, ensure that you test all key paths and scenarios.. Use tools if you must to know untested regions
- Repeatable: Tests should produce the same results each time.. every time. Tests should not rely on uncontrollable params.
- Independent: Very important.
- Tests should test only one thing at a time. Multiple assertions are okay as long as they are all testing one feature/behavior. When a test fails, it should pinpoint the location of the problem.
- Tests should not rely on each other - Isolated. No assumptions about order of test execution. Ensure 'clean slate' before each test by using setup/teardown appropriately
- Professional: In the long run you'll have as much test code as production (if not more), therefore follow the same standard of good-design for your test code. Well factored methods-classes with intention-revealing names, No duplication, tests with good names, etc.
- Good tests also run Fast. any test that takes over half a second to run.. needs to be worked upon. The longer the test suite takes for a run.. the less frequently it will be run. The more changes the dev will try to sneak between runs.. if anything breaks.. it will take longer to figure out which change was the culprit.
- Readable : This can be considered part of Professional - however it can't be stressed enough. An acid test would be to find someone who isn't part of your team and asking him/her to figure out the behavior under test within a couple of minutes. Tests need to be maintained just like production code - so make it easy to read even if it takes more effort. Tests should be symmetric (follow a pattern) and concise (test one behavior at a time). Use a consistent naming convention (e.g. the TestDox style). Avoid cluttering the test with "incidental details".. become a minimalist.
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Some of my own from experience(not strict rules that I follow but just guidelines)..
- Whenever writing tests, keep in mind, how much the test code changes if you change the implementation(keeping the interface same) of your method under test. In short, try to test specification as much possible.
- Recently, to abstract away a key-value store, I created an interface, KeyValueDb. In addition to the real key-value store based implementation I wrote another one which is backed by memory. All the code that uses KeyValueDb, I used memory-backed implementation in the unit tests and surprisingly tests look much cleaner than using mock(KeyValueDb). However, mocks are required in some places to create scenarios hard to create otherwise(e.g. socket timeout).
Also, though I don't do T.D.D.[neither Design nor Development], but writing unit tests while/after I am done coding something gives me confidence that it works. It sure helps catch bugs and sometimes results in good method level refactorings .
Not tired of reading yet? Here is another intersting post... http://mike-bland.com/2012/07/10/test-mercenaries.html .