Heterogeneous stacked ensemble classifier for software defect prediction

Empirical Study of Software Defect Prediction: A Systematic Mapping

(2019) Le Son et al.   Symmetry-Basel

An overlap-sensitive margin classifier for imbalanced and overlapping data

(2018) Han Kyu Lee et al.   EXPERT SYSTEMS WITH APPLICATIONS

Software defect prediction using stacked denoising autoencoders and two-stage ensemble learning

(2018) Haonan Tong et al.   INFORMATION AND SOFTWARE TECHNOLOGY

Software metrics thresholds calculation techniques to predict fault-proneness: An empirical comparison

(2018) Alexandre Boucher et al.   INFORMATION AND SOFTWARE TECHNOLOGY

A novel approach for software defect prediction through hybridizing gradual relational association rules with artificial neural networks

(2018) Diana-Lucia Miholca et al.   INFORMATION SCIENCES

Early software defect prediction: A systematic map and review

(2018) Rana Özakıncı et al.   JOURNAL OF SYSTEMS AND SOFTWARE

An Ensemble Oversampling Model for Class Imbalance Problem in Software Defect Prediction

(2018) Shamsul Huda et al.   IEEE Access

Towards an ensemble based system for predicting the number of software faults

(2017) Santosh Singh Rathore et al.   EXPERT SYSTEMS WITH APPLICATIONS

Learning from class-imbalanced data: Review of methods and applications

(2017) Guo Haixiang et al.   EXPERT SYSTEMS WITH APPLICATIONS

TLEL: A two-layer ensemble learning approach for just-in-time defect prediction

(2017) Xinli Yang et al.   INFORMATION AND SOFTWARE TECHNOLOGY

Tackling class overlap and imbalance problems in software defect prediction

(2016) Lin Chen et al.   SOFTWARE QUALITY JOURNAL

Multiple kernel ensemble learning for software defect prediction

(2015) Tiejian Wang et al.   Automated Software Engineering

A comparison of some soft computing methods for software fault prediction

(2015) Ezgi Erturk et al.   EXPERT SYSTEMS WITH APPLICATIONS

ELBlocker: Predicting blocking bugs with ensemble imbalance learning

(2015) Xin Xia et al.   INFORMATION AND SOFTWARE TECHNOLOGY

Software defect prediction using ensemble learning on selected features

(2015) Issam H. Laradji et al.   INFORMATION AND SOFTWARE TECHNOLOGY

Software defect prediction using a cost sensitive decision forest and voting, and a potential solution to the class imbalance problem

(2015) Michael J. Siers et al.   INFORMATION SYSTEMS

Using Class Imbalance Learning for Software Defect Prediction

(2013) Shuo Wang et al.   IEEE TRANSACTIONS ON RELIABILITY

A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

(2011) M. Galar et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE