A Case Study to Increase Quality of Industrial Edge Software Product’s Dynamic Data Testing

In recent years, the importance of software testing has increased with the transition from waterfall to agile working methodology. Software testing process increases the quality of software, supplies more secure, verified, and validated software. Especially, testing has great importance on industrial applications that effects human life. There are many types of testing methodologies such as system, integration, smoke, unit, regression testing etc. At the base, all software testing progress starts with manual testing. Testers and test automation developers has a key role on development teams. Projects are completed with the quality approval of the software by testers. Besides of manual testing, test automation has an importance to expose incidents and to decrease human effort. Many different types of test automation frameworks and tools have developed. It is also stage of deployment process of pipelines on some projects. Because of all these reasons, this paper offers a new technique to automate visualized device anomaly values on application’s interface on industrial software products area. Anomaly values are the most important part of devices and testing the anomaly values on graphs doesn’t give effective results on manual testing. The results show that the device anomaly score accuracy of the developed automation robot improves the test quality of system.