How to plan a testing approach for service

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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