EhsanMashhadi/ISSRE2023-BugSeverityPrediction
Code of our paper "Method-Level Bug Severity Prediction using Source Code Metrics and LLMs" which is accepted to ISSRE 2023.
This project helps software quality assurance and engineering managers understand and predict the severity of bugs based on their source code and related metrics. It takes raw bug data, processes it, and then outputs predictions about whether a bug is critical or minor. Software development teams, particularly those focused on quality and release management, would use this to prioritize fixes.
No commits in the last 6 months.
Use this if you need to reproduce or validate research findings on predicting bug severity using code metrics and transformer models.
Not ideal if you are looking for a plug-and-play solution for real-time bug triage in a production environment, as this is primarily a research artifact.
Stars
10
Forks
2
Language
Java
License
—
Category
Last pushed
Nov 12, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/EhsanMashhadi/ISSRE2023-BugSeverityPrediction"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
jma127/pyltr
Python learning to rank (LTR) toolkit
tensorflow/ranking
Learning to Rank in TensorFlow
evllabs/JGAAP
The Java Graphical Authorship Attribution Program
Bibliome/alvisnlp
ALvisNLP corpus processing engine
rosette-api/rosette-elasticsearch-plugin
Document Enrichment plugin for Elasticsearch