Software Quality Analysis in Edge Computing for Distributed Devops Using ResNet Model
Hemanth Swamy
Abstract- -The phrase “development operations” (DevOps) refers to a more modern trend in which several disciplines work together to speed up and enhance the delivery of IT solutions that provide value to businesses. The advantages of DevOps, such as faster development times, more stable environments, better teamwork, and better communication, are attracting many software companies. Despite the importance of DevOps principles for software firms, the management of these activities has received less attention in the literature. An efficient framework for managing DevOps activities is our study’s overarching goal. In order to find out how to execute DevOps well, we ran an empirical research using the open-source HELENA2 dataset. In addition, we have developed a model for forecasting for DevOps implementation using the RESNET prediction algorithm, which is furthermore compared to machine learning models like SVM, ANN, and RF. Consequently, we determined that checking system log files, automated tests, making sure that automated tests cover a lot of ground, and using a continuous deployment plan are the most typical tasks. Additionally, the Extended Kalman Filter (EKF) is used to assess the quality. This research gives us the green light to keep digging for answers on how to improve quality of software in DevOps environments.