A new short kernel learning methods using cloud computing for quality inspection in information technology organization system

Abstract The IT organization needs quality assurance for the management of software engineering technology in the region. To apply its quality, IT Company attributes a practical change approach that depends on the quality change of drivers that reduces operating costs of systems. ITIL (Information Technology Infrastructure Library) and six sigma for IT service management essentially provide a wholly defined structure and ground support. But ITIL highlights the need for service measurement and statements through service management software quality. The proposed system improves the quality of software, using advanced machine learning methods and cloud systems. A new short Kernel learning (NSKL) algorithm is used as a learning method for the classification task and select the function that contains the most relevant information about the quality of the software. The integration of machine learning in the cloud is called an intelligent cloud. Cloud computing is primarily used for networking and storage, but also significantly adds capabilities to cloud-based machine learning. Based on the test results, this can be effectively detected. It already aims to make changes and improve quality while focusing on control. Results show that IT streamlines the support management and event management process more efficiently and effectively.