Software testing methods: Test automation

If you are interested in software testing, you have probably encountered the concept of test automation. Nowadays, this testing method is becoming increasingly popular as it saves time and effort for testers while simplifying repetitive and resource-intensive tasks.

In this article, we introduce the basics of test automation and dispel the most common myths.

Software testing methods Test automation.webp
Software testing methods Test automation.webp

If you are interested in software testing, you have probably encountered the concept of test automation. Nowadays, this testing method is becoming increasingly popular as it saves time and effort for testers while simplifying repetitive and resource-intensive tasks.

In this article, we introduce the basics of test automation and dispel the most common myths.

What is test automation?

Automated software testing is a method where testers use automated solutions to execute test cases. Automating the test suite saves time and effort in performing repetitive and resource-intensive tasks that would be more challenging to accomplish manually. This technique simplifies testing processes and results in higher software quality while potentially reducing associated costs.

Today, it is essential for most companies involved in software testing to use automated solutions alongside manual testing. This effort is supported by various tools capable of automating the testing of different applications, including web applications, mobile applications, and desktop applications.

Why is test automation necessary?

Manual testing methods are often time-consuming and costly because each test run requires significant human intervention. In contrast, automated testing allows for the repeated and accurate execution of the same test cases without the errors that might arise from human factors affecting the test results. Automated systems can process and test large amounts of data, minimizing errors and increasing the reliability of testing processes.

Furthermore, automated testing speeds up the testing process, allowing developers to respond more quickly to discovered bugs and issues. This rapid feedback loop significantly improves the efficiency of development processes, as identifying bugs at an early stage reduces the resources and time needed for their resolution.

Lastly, automated testing allows testing processes to be more closely integrated into development cycles, enabling testing phases to be conducted parallel with development. This continuous integration and continuous delivery (CI/CD) model is a crucial component, further enhancing the speed and efficiency of getting applications to market while improving their quality and reliability.

What are the disadvantages of test automation?

Automated testing is more efficient than manual testing in many ways, but it is not always the ideal choice. One significant barrier to its widespread adoption is the steep learning curve. This is especially evident with tools that require testers to have not only basic programming knowledge but also an in-depth understanding of the tool’s logic and operation. This requires significant time investment and learning effort from testers, which can often slow down the introduction of automation processes and hinder the effective use of the technology.

Another limitation of automated testing is that tests can only check the parts and functions they have been pre-programmed for. This method is excellent for executing repetitive, well-defined test cases that do not require human perception or decision-making. However, it is less effective in identifying bugs and anomalies that fall outside the programmed parameters. For example, if a change occurs in an application that affects an aspect of the user interface not tested, the automated test is unlikely to detect the problem unless the test suite is updated to consider the new conditions.

This limitation means that automated tests cannot always identify new or unexpected bugs. These tests lack the cognitive abilities of human users, such as context awareness, creative problem-solving, or interpreting intuitive user interactions, limiting the situations in which they can be effectively applied.

**The future of test automation--

Technological advancements also impact test automation. AI and ML technologies help speed up and make test processes more efficient.

The proliferation of IoT and mobile applications further increases the need for automated testing. Open-source tools, new programming languages, and the growing demand for testing professionals continue to strengthen the industry, while simplifying testing processes and increasing test coverage remain critical goals in the near future.