- Home
- Publications
- Publication Search
- Publication Details
Title
Multiple kernel ensemble learning for software defect prediction
Authors
Keywords
Software defect prediction, Multiple kernel learning , Ensemble learning, Multiple kernel ensemble learning (MKEL)
Journal
Automated Software Engineering
Volume 23, Issue 4, Pages 569-590
Publisher
Springer Nature
Online
2015-04-06
DOI
10.1007/s10515-015-0179-1
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Using Class Imbalance Learning for Software Defect Prediction
- (2013) Shuo Wang et al. IEEE TRANSACTIONS ON RELIABILITY
- Data Quality: Some Comments on the NASA Software Defect Datasets
- (2013) Martin Shepperd et al. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
- MKBoost: A Framework of Multiple Kernel Boosting
- (2012) Hao Xia et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Using Coding-Based Ensemble Learning to Improve Software Defect Prediction
- (2012) Zhongbin Sun et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE
- DEFECT PREDICTION USING CASE-BASED REASONING: AN ATTRIBUTE WEIGHTING TECHNIQUE BASED UPON SENSITIVITY ANALYSIS IN NEURAL NETWORKS
- (2012) ELHAM PAIKARI et al. INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING
- A Systematic Literature Review on Fault Prediction Performance in Software Engineering
- (2011) T. Hall et al. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
- The use of decision trees for cost-sensitive classification: an empirical study in software quality prediction
- (2011) Naeem Seliya et al. Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
- Ensemble-based classifiers
- (2009) Lior Rokach ARTIFICIAL INTELLIGENCE REVIEW
- Cost-sensitive boosting neural networks for software defect prediction
- (2009) Jun Zheng EXPERT SYSTEMS WITH APPLICATIONS
- Learning from Imbalanced Data
- (2009) Haibo He et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Improving Software-Quality Predictions With Data Sampling and Boosting
- (2009) C. Seiffert et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS
- Probabilistic multi-class multi-kernel learning: on protein fold recognition and remote homology detection
- (2008) Theodoros Damoulas et al. BIOINFORMATICS
- Analysis of Naive Bayes’ assumptions on software fault data: An empirical study
- (2008) Burak Turhan et al. DATA & KNOWLEDGE ENGINEERING
- A systematic review of software fault prediction studies
- (2008) Cagatay Catal et al. EXPERT SYSTEMS WITH APPLICATIONS
- Predicting defect-prone software modules using support vector machines
- (2007) Karim O. Elish et al. JOURNAL OF SYSTEMS AND SOFTWARE
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started