earticle

영어

In software development process, software quality control is very important for successful project. In software quality management, development and quality organizations use issue tracking. Until the software comes out as a product, a lot of bugs are generated and the results are registered in the issue. The bug that occurred at this time includes the elements that can know the state. During the revision process, the bug is given priority to the development organization and revised through passive methods. In this paper, we manually overcome the problem of the order of resolution of issues in progress and limitations of process degradation by automating the priority manually measured during bug selection. After extracting the data collected through the Eclipse Project from 2007 to 2016, solve the data bias problem. We propose a model that predicts priority of 90% through comparison of classification algorithms of Decision Tree and Random Forest.