Similar to manual testing, Test automation also operates on a large scale and in a wide variety of ways, spanning a wide spectrum of end-to-end quality assurance processes.

Let us take a look at the various types of automated test initiatives followed by enterprises:

Code Testing

Code testing focuses on empowering developers or programmers to create and maintain sustainable and efficient coding practices. Firstly, it helps to check for vulnerable code snippets that may pose security risks. Secondly, it helps to correct formatting and style discrepancies before the code is checked out for execution or compiling.

Unit Testing

This enables quality assurance for a single piece of code or code unit representing a particular software module or functionality. It works well when dependencies with other modules, databases, external APIs, etc., are not in consideration. It also focuses on the code or code block alone and is usually very fast in execution.

Integration Testing

This helps ensure the quality of an application suite where different modules or sub-functions are integrated and constantly communicate via APIs and other messaging services. Automation of integration testing is complicated because there are a lot of dependencies that need to be mapped, test cases to be provisioned dynamically, and several resources and runtime environments to be set up depending on the number of integrated interfaces being tested.

Regression Testing

Regression Testing ensures that a software or code block offers uninterrupted functioning after any change has been made to it recently. Automating regression testing through a tool or platform with a user-friendly interface can significantly help save time and effort.

Performance Testing

It caters to ensuring that the application serves its purpose under any condition of scale or utilization volumes. For example, a website’s performance under extreme web traffic can be a perfect use case for performance testing. It is a key pillar that ensures a sustainable future for any digital application as it grows and accumulates transactional volumes significantly higher than in the initial days.

Acceptance Testing

Acceptance Testing deals with testing the scenarios for end-user acceptance of an application. This is one of the most critical areas of testing where you mimic actual end-user behavior in the testing stage. It also helps to ascertain whether the application can work without disruption under any stressed conditions. It is the final stage where developers and project managers can verify whether all requirements laid out during the initial requirement study phase have been met by the final product or feature being tested.