{"id":143962,"date":"2024-07-29T07:00:00","date_gmt":"2024-07-29T05:00:00","guid":{"rendered":"http:\/\/e3mag.com\/?p=143962"},"modified":"2024-11-15T11:44:32","modified_gmt":"2024-11-15T10:44:32","slug":"how-machine-learning-and-ai-are-revolutionizing-testing","status":"publish","type":"post","link":"https:\/\/e3mag.com\/en\/how-machine-learning-and-ai-are-revolutionizing-testing\/","title":{"rendered":"How Machine Learning and AI Are Revolutionizing Testing"},"content":{"rendered":"

Artificial intelligence and machine learning can help with testing, testing and re-testing. Most companies today rely on complex IT system architectures to manage the multitude of different tasks. The core is usually a cloud-based SAP S\/4, supplemented by other specific software solutions. Depending on requirements, these can be manufacturing execution systems (MES), customer relationship management solutions (CRM) or product lifecycle software (PLM), for example.<\/p>\n\n\n\n

This provides companies with high-performance IT. However, this also results in numerous interfaces and media disruptions - and therefore many potential sources of error, for example as a result of unclean data transfer. The Walldorf-based IT group SAP is also aware of the associated challenges and has therefore been offering the SAP Business Technology Platform (BTP) for some time, a toolbox that is designed to significantly simplify the interaction of the various individual components, among other things. BTP provides various tools for this purpose, such as API management within the SAP Integration Suite.<\/p>

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The BTP tools are extremely helpful and often make the work of internal IT departments much easier. Nevertheless, an old principle remains valid: if companies want to guarantee smooth, cross-system processes, they cannot do without regular testing of their system environments. In view of increasingly frequent updates and upgrades, this is a laborious undertaking. Modern processes that rely on the use of artificial intelligence (AI) and machine learning concepts can help here.<\/p>\n\n\n\n

Recognize causes of errors with ML<\/h2>\n\n\n\n

\"For some time now, companies have been increasingly relying on test automation,\" reports Thomas Steirer, testing and AI specialist at digital engineering company Nagarro and currently involved in various research projects in this area. \"But they often don't use the most modern methods - partly because they simply don't have an overview of what is already technically possible. There are also numerous conceptual question marks.\"<\/p>\n\n\n\n