My overall experience in testing has taught me one thing:
the overall culture of testing in any organization is strongly influenced by
the applicable testing approach, regardless of how they imagine testing
automation and how they plan to collaborate outside the development team.
This means retrospecting the current process, complete and
decide on a new test approach and determine the level of testing, roles and
responsibilities of team members.
But first of all, let's disconnect the test method that can provide
a maximum value when automatically. Different testing methods can be used for
various levels of testing.
Unit testing
Testing units is the backbone of each testing automation
strategy in agile that provides the team with the highest ROI. This test uses
small code (both functions or methods) that can be written, run by the
developer, and maintain.
For example, if you are building a building, a unit might
refer to cement. This cement is a functional part of the code that is
irrelevant outside the context. You can test this gray powder separately to
check whether hardening after mixing with water.
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Likewise, each unit must be tested individually, but this
will not give you a house. Testing units will give you observations at the
granular level that is important for developers, no matter how useful for
product owners. It is recommended to run this test locally and in building.
Regression testing
Imagine yourself updating your product build. Now, you
return to your product to check new functionality only to land with
disappointment because of the features you have used since the age of stopping
work.
Every time you introduce new functionality to your product,
you need to check whether it is damaged or creating the features. Because the
regression test returns investment after each update of manufacturing, they
must be a second priority after the unit test.
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Component testing
Let's take building a house metaphor a little further. You
have tested bricks, cement, tiles, and everything needed to build a house. Will
all these ingredients produce a house after they gather together? And does it
look like home?
Component testing does not care about the quality and
quantity of this entity. This only tests the overall business value.
Tip-testing
Imagine a house. A house will have all kinds of parts -
bathroom, terrace, dining room, kitchen, etc. Each of these areas is easily
accessible? For example, someone who is looking for a bathroom causes him
actually find a way for that? The most concerned about the end-to-end test is
to see whether all product components can interact with each other in the
correct order.
As suggested, this type of testing is slow because of
testing the entire business stream from the beginning to the end. This is
definitely an effective way to verify system interactions, but only when you
don't have too many systems.
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We always run this test in our release pipe after the system
is deployed. You can also run it locally if the architectural pattern you need.
As said before, the end-to-end test is very complex. So how
do you overcome this? Well, a solution that has been successful for us is to
choose tools that are easy to use, maintained, and scale to ensure long-term
success.
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Integration / API testing
Integration and fire testing allows you to test how well the
system works with an external system. In other words, how stable your system is
when it comes to interacting with fire.
Because modern software development depends on fire &
SDKS to a larger level, validating business logic as a whole and application
behavior is very important.
The best way to execute this test is to run it before using
the system in your release pipe. We often automate fire tests that are
repeatedly executed such as regression cases. The general test case where we
run automatic API testing is an area where code changes directly affect the API
function.
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Cross-browser testing
Check the functionality of your application through several
browsers / OS / Device / screen resolution is not a brainer. Doing this test
manually is a time consuming task. But what if you want to do it on a scale at
high speed? The answer, automates cross-browser tests.
Automatic cross-browser testing has greatly increased the
coverage of the test and reduced our testing and time of 80%. Leverage Power of
Test Automation by testing the most commonly used combination of your target
users. Another focus area must test high-risk features.
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Smoke testing.
We did a smoke test to verify and get instant feedback about
the build system. This ensures that all important functions (configuration,
permission, .net framework, etc.) works correctly.
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