An Investigation Towards Resampling Techniques and Classification Algorithms on CM1 NASA PROMISE Dataset for Software Defect Prediction

An Investigation Towards Resampling Techniques and Classification Algorithms on CM1 NASA PROMISE Dataset for Software Defect Prediction

Software defect prediction is a practical approach to improving the quality and efficiency of software testing processes. However, establishing robust and trustworthy models for software defect prediction is quite challenging due to the limitation of historical datasets that most developers are capa...

Full description

Saved in:
Bibliographic Details
Main Authors: Agung Fatwanto, Muh Nur Aslam, Rebbecah Ndugi, Muhammad Syafrudin
Format: Article
Language:English
Published: Ikatan Ahli Informatika Indonesia 2024-10-01
Series:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Subjects:
software defect prediction
machine learning
classification algorithm
imbalanced data
resampling
Online Access:https://jurnal.iaii.or.id/index.php/RESTI/article/view/5910
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items