This repository contains our source code ad data on the use of machine learning methods to automatically detect the objective and priority-level of issue reports in software repositories.
It currently contains the following two parts:
Objective Detection: This directory contains our scripts on state-of-the-art ML algorithms to automatically identify the goal behind opeining an issue and categorziing them into three groups of bug reports, enhancement requests, and finally supportPriority Prediction: This directory contains our scripts on ML models for prediciting the priority of an issue report for task assigneent or maintenance purposes..
The paper can be found on ArXiv: link