Understanding Software Defect Prediction Through eXplainable Neural Additive Models

Software defect prediction, leveraging machine learning techniques to proactively identify potential defects in software systems, plays a crucial role in enhancing software quality and reliability. However, a major challenge in this field lies in the opacity of the prediction process and the lack of...

Full description

Saved in:
Bibliographic Details
Main Authors: Ruiqi He, Yong Li, Chi Sun
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10988540/
Tags: Add Tag
No Tags, Be the first to tag this record!