- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Software defect prediction using learning to rank approach ; volume:13 ; number:1 ; day:2 ; month:11 ; year:2023 ; pages:1-16 ; date:12.2023
Scientific reports ; 13, Heft 1 (2.11.2023), 1-16, 12.2023
- Creator
-
Nassif, Ali Bou
Talib, Manar Abu
Azzeh, Mohammad
Alzaabi, Shaikha
Khanfar, Rawan
Kharsa, Ruba
Angelis, Lefteris
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-023-45915-5
- URN
-
urn:nbn:de:101:1-2024012210433821119363
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
- 15.08.2025, 7:21 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Nassif, Ali Bou
- Talib, Manar Abu
- Azzeh, Mohammad
- Alzaabi, Shaikha
- Khanfar, Rawan
- Kharsa, Ruba
- Angelis, Lefteris
- SpringerLink (Online service)
Other Objects (12)
Enhancing software defect prediction models using metaheuristics with a learning to rank approach
Improving transfer learning for software cross-project defect prediction
An Empirical Study for Enhanced Software Defect Prediction Using a Learning-Based Framework
Semantic and traditional feature fusion for software defect prediction using hybrid deep learning model
Software defect prediction: do different classifiers find the same defects?
Weighted software metrics aggregation and its application to defect prediction
Discriminating features-based cost-sensitive approach for software defect prediction
An investigation of online and offline learning models for online Just-in-Time Software Defect Prediction
NeuRank: learning to rank with neural networks for drug–target interaction prediction
A new binary chaos-based metaheuristic algorithm for software defect prediction
On the assessment of software defect prediction models via ROC curves
Software defect prediction based on nested-stacking and heterogeneous feature selection
Enhancing software defect prediction models using metaheuristics with a learning to rank approach
Improving transfer learning for software cross-project defect prediction
An Empirical Study for Enhanced Software Defect Prediction Using a Learning-Based Framework
Semantic and traditional feature fusion for software defect prediction using hybrid deep learning model
Software defect prediction: do different classifiers find the same defects?
Weighted software metrics aggregation and its application to defect prediction
Discriminating features-based cost-sensitive approach for software defect prediction
An investigation of online and offline learning models for online Just-in-Time Software Defect Prediction
NeuRank: learning to rank with neural networks for drug–target interaction prediction
A new binary chaos-based metaheuristic algorithm for software defect prediction
On the assessment of software defect prediction models via ROC curves
Software defect prediction based on nested-stacking and heterogeneous feature selection
Enhancing software defect prediction models using metaheuristics with a learning to rank approach
Improving transfer learning for software cross-project defect prediction
An Empirical Study for Enhanced Software Defect Prediction Using a Learning-Based Framework
Semantic and traditional feature fusion for software defect prediction using hybrid deep learning model
Software defect prediction: do different classifiers find the same defects?
Weighted software metrics aggregation and its application to defect prediction
Discriminating features-based cost-sensitive approach for software defect prediction
An investigation of online and offline learning models for online Just-in-Time Software Defect Prediction
NeuRank: learning to rank with neural networks for drug–target interaction prediction
A new binary chaos-based metaheuristic algorithm for software defect prediction
On the assessment of software defect prediction models via ROC curves