IssueReportsManagement
Automatically managing Collectively-curated issue reports for maintenance and evolution goals of the software repositories, using state-of-the-art machine learning models.
Install / Use
/learn @MalihehIzadi/IssueReportsManagementREADME
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:
<ul> <li><p><code>Objective Detection</code>: 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</p></li> <li><p><code>Priority Prediction</code>: This directory contains our scripts on ML models for prediciting the priority of an issue report for task assigneent or maintenance purposes..</p></li> </ul>Submitted Paper for Peer Review
The paper can be found on ArXiv: <a href="https://arxiv.org/abs/2012.10951">link</a>
