MalihehIzadi / IssueReportsManagement

Automatically managing Collectively-curated issue reports for maintenance and evolution goals of the software repositories, using state-of-the-art machine learning models.

Issue Reports Management

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 support

• Priority Prediction: This directory contains our scripts on ML models for prediciting the priority of an issue report for task assigneent or maintenance purposes..

Submitted Paper for Peer Review

The paper can be found on ArXiv: link