Used CENCORP MLT #9259358 for sale
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CENCORP MLT is a highly advanced final test equipment developed by CENCORP. It is designed to test and evaluate the performance of different software products and systems. The system is composed of a set of integrated and automated tools that enable rapid review and validation of complex systems. MLT (Machine Learning Testing) is a comprehensive test framework comprised of four major components: 1. Post processing - this is a critical part of the unit and is responsible for performing post-processing of systems for debugging and troubleshooting. This includes the ability to perform post-exam alerting and reporting. 2. Machine learning - CENCORP MLT leverages machine learning algorithms to automate the evaluation process. This allows for more accurate and quicker results than manual testing. It is designed to simulate real-world usage scenarios and find even the most obscure machine errors. 3. Test environment - the tool includes a virtual test environment in which the asset can be tested in an automated and reliable manner. This enables rapid and repeatable evaluations for different hardware and software environments. 4. Automated Evaluation - MLT model empowers developers to test their systems without manual intervention. This includes automated testing for API and GUI testing, regression testing, acceptance testing, load testing and unit testing. In addition, the equipment can monitor and analyze test results for greater insight into system performance. Every step of CENCORP MLT process is automated and the unit can be used to effectively test complex software projects. It generally takes a fraction of the time of manual testing and has an improved accuracy rate. The machine's assessment is based on both qualitative and quantitative criteria. MLT is an advanced test tool suitable for any organisation or project that requires the highest levels of accuracy and speed. The asset will help ensure that complex software projects and systems perform optimally and with the assurance of minimal problems in the future.
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