Automated testing

Definition

Automated testing is a process in software development that uses specialized software to automatically check other software for errors. These tests repeat defined tasks to ensure that the program delivers the expected results and does not show any adverse side effects.

Background

The practice of automated testing has evolved with the increase in software complexity and the need for faster development cycles. It is an integral part of agile development methods such as continuous integration and continuous deployment, as it enables rapid feedback and a high level of quality assurance.

Areas of application

Automated testing is widely used in software development, particularly in projects that require high-quality standards or where manual testing is impracticable due to the size or complexity of the project. They are also used in the development of self-service portals and B2B merchant portals to ensure the stability and functionality of these customer-facing platforms.

Benefits

The benefits of automated testing include improved fault detection, time savings when running tests, consistency in test execution, and a reduction in long-term costs. They also enable continuous review of the code in case of changes, which makes software maintenance easier.

Challenges

Challenges with automated testing can include the initial high set-up costs, the need for specialized knowledge to create the test scripts, and the risk of gaps in coverage where important errors are not covered by the tests. Effective solutions include the regular revision and update of test cases, as well as training for developers in the area of test automation.

Examples

A specific example of the use of automated tests is the development and continuous improvement of an industrial B2B retailer portal. Automated tests regularly check the functionality of new features and the stability of existing system components before they go live.

Summary

Automated testing is a fundamental component of modern software development, which makes it possible to increase the quality and efficiency of software delivery. They are essential for agile development processes and contribute significantly to the reliability of software products.