Python: Object-oriented Testing
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Automated testing is important for large object oriented programs as the code grows to test all execution paths and ensure changes don't break existing code. Tests can be run quickly and cover many paths. Test-driven development involves writing tests before code to specify requirements and ensure all code is tested. The goals of test-driven development are to guarantee tests are written and integrated into the design process.
Python: Object-oriented Testing
- 2. Object Oriented Testing • Testing is very important to make sure your code works. • As programs grow bigger and bigger it becomes very important to test the code, and to understand how changes in one part of the code can impact other parts of the code. • As the code grows it also becomes more and more difficult to manually test each possible path of execution.
- 3. Object Oriented Testing • To handle this, we can write automated tests. • These are programs that automatically run certain input through other parts of programs. • We can run these in seconds and cover a significant numbers of paths of execution (and makes retesting easier when anything in the program is changed).
- 4. Object Oriented Testing • The four main reasons to develop tests are: – To ensure the code is working the way the developer intends – To ensure the code continues to work after changes are made – To ensure the developer(s) have understood the requirements – To ensure the code has a maintainable interface
- 6. Object Oriented Testing • “write tests first” – the mantra of Test-Driven Development • The key concept is that a developer shouldn’t write any code until they have written tests for that code first • Test-Driven Development is fun, it’s all about solving puzzles.
- 7. Object Oriented Testing • Test-Driven Development has two goals: 1. To ensure that tests are actually written, and written well. Too often developers leave the design of tests until after the development process, and then don’t bother because the code seems to work. 2. To help the developers envisage exactly what the code will do, and what processes and modules it will interact with, thus testing becomes part of the design process.
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