How to use test_expected_exception_success method in assertpy

In my last blog, I investigated both the stateless and the stateful class of model-based testing. Both have some advantages and disadvantages. You can use them for different types of systems, depending on whether a stateful solution is required or a stateless one is enough. However, a better solution is to use an aggregate technique that is appropriate for each system. Currently, the only aggregate solution is action-state testing, introduced in the book Paradigm Shift in Software Testing. This method is implemented in Harmony.

How do we acquire knowledge? This is one of the seemingly basic but critical questions you and your team members must ask and consider. We are experts; therefore, we understand why we study and what we should learn. However, many of us do not give enough thought to how we learn.

The best agile teams are built from people who work together as one unit, where each team member has both the technical and the personal skills to allow the team to become self-organized, cross-functional, and self-motivated. These are all big words that I hear in almost every agile project. Still, the criteria to make a fantastic agile team are practically impossible to achieve without one major factor: motivation towards a common goal.

In some sense, testing can be more difficult than coding, as validating the efficiency of the test cases (i.e., the ‘goodness’ of your tests) can be much harder than validating code correctness. In practice, the tests are just executed without any validation beyond the pass/fail verdict. On the contrary, the code is (hopefully) always validated by testing. By designing and executing the test cases the result is that some tests have passed, and some others have failed. Testers do not know much about how many bugs remain in the code, nor about their bug-revealing efficiency.