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Carlos Gonzaga
Carlos Gonzaga

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🤔 Is It Possible to Achieve 100% Test Automation?

The pursuit of total test automation is a common goal in many development teams. As an automated test analyst, I believe that achieving 100% automation is possible. Despite numerous challenges such as test scenario complexity and the constant need for script maintenance, overcoming these barriers is feasible with the right approaches and tools.

Test complexity is a reality, especially those involving human interactions and exploratory testing. However, with the continuous evolution of automation tools and the integration of artificial intelligence and machine learning, we are increasingly closer to effectively replicating these interactions. Advanced tools can learn from past behaviors and adapt to new patterns, reducing the reliance on manual testing.

The maintenance of test scripts, often seen as a burdensome task, can be efficiently managed with good coding practices and the use of robust frameworks. Moreover, test automation should be viewed as a long-term investment. While the initial cost may be high, the benefits in terms of speed, accuracy, and test coverage outweigh the initial financial challenges.

A crucial aspect to ensure the integrity of automated tests and achieve 100% automation is the structure of big data. Well-updated and structured big data is essential for test effectiveness. It allows tests to be conducted under conditions that reflect the reality of the production environment, ensuring accurate and reliable results.

Another consideration is the continuous updating of automation tools, which are becoming more comprehensive and integrated. With end-to-end automation, from unit tests to integration and acceptance tests, it is possible to cover all aspects of the software, ensuring quality and reliability.

Achieving 100% test automation is not just an ambitious goal but a real possibility with the right approach. The key lies in combining advanced technologies, good development practices, a robust and updated big data framework, and a continuous commitment to quality. Therefore, while many may view total automation as an unattainable ideal, I firmly believe that we are on the right path to turning this vision into reality.

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