Description: Predictive testing is an advanced technique within automated testing that uses data analysis and machine learning algorithms to anticipate potential problems in software before they become critical failures. These tests rely on the collection and analysis of historical data from previous tests, as well as performance and quality metrics of the software. By identifying patterns and trends, predictive testing enables development and quality assurance teams to make informed decisions about where to focus their testing efforts. This methodology not only improves the efficiency of the testing process but also reduces the time and costs associated with detecting errors at later stages of the software development lifecycle. Predictive testing is particularly relevant in agile and DevOps environments, where speed and quality are essential. By integrating these tests into the workflow, organizations can enhance software reliability and increase customer satisfaction by delivering more robust and less error-prone products.
