التفاصيل البيبلوغرافية
| العنوان: |
US-XGB Models for Defect Prediction |
| المؤلفون: |
Geanderson Esteves dos Santos |
| بيانات النشر: |
Zenodo |
| سنة النشر: |
2023 |
| المجموعة: |
Zenodo |
| مصطلحات موضوعية: |
defect prediciton |
| الوصف: |
These files contain two pickle models featuring thousands of machine learning models drawn from the Bug Prediction and Jureczko datasets. These models were trained on extensive data and are suitable for use in bug prediction research data. The models are easy to employ and can be integrated into existing systems with minimal effort. We believe that these models will be a valuable resource for researchers and practitioners working in the field of machine learning and software engineering. |
| نوع الوثيقة: |
other/unknown material |
| اللغة: |
English |
| Relation: |
https://doi.org/10.5281/zenodo.7513972; https://doi.org/10.5281/zenodo.7513974; oai:zenodo.org:7513974 |
| DOI: |
10.5281/zenodo.7513974 |
| الاتاحة: |
https://doi.org/10.5281/zenodo.7513974 |
| Rights: |
info:eu-repo/semantics/openAccess ; Creative Commons Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0/legalcode |
| رقم الانضمام: |
edsbas.8DF64027 |
| قاعدة البيانات: |
BASE |