Transfer Convolutional Neural Network for Cross-Project Defect Prediction

An investigation of imbalanced ensemble learning methods for cross-project defect prediction

(2019) Shaojian Qiu et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

A Comprehensive Investigation of the Role of Imbalanced Learning for Software Defect Prediction

(2018) Qinbao Song et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

Multiple-components weights model for cross-project software defect prediction

(2018) Shaojian Qiu et al.   IET Software

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

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

Deep Semantic Feature Learning for Software Defect Prediction

(2018) Song Wang et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

A Comparative Study to Benchmark Cross-project Defect Prediction Approaches

(2017) Steffen Herbold et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

Comments on ScottKnottESD in response to "An empirical comparison of model validation techniques for defect prediction models"

(2017) Steffen Herbold   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

An Improved SDA Based Defect Prediction Framework for Both Within-Project and Cross-Project Class-Imbalance Problems

(2017) Xiao-Yuan Jing et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

An Empirical Comparison of Model Validation Techniques for Defect Prediction Models

(2017) Chakkrit Tantithamthavorn et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

HYDRA: Massively Compositional Model for Cross-Project Defect Prediction

(2016) Xin Xia et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

An empirical study on software defect prediction with a simplified metric set

(2015) Peng He et al.   INFORMATION AND SOFTWARE TECHNOLOGY

Negative samples reduction in cross-company software defects prediction

(2015) Lin Chen 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

Value-cognitive boosting with a support vector machine for cross-project defect prediction

(2014) Duksan Ryu et al.   EMPIRICAL SOFTWARE ENGINEERING

Researcher Bias: The Use of Machine Learning in Software Defect Prediction

(2014) Martin Shepperd et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

Transfer learning for cross-company software defect prediction

(2011) Ying Ma et al.   INFORMATION AND SOFTWARE TECHNOLOGY

Domain Adaptation via Transfer Component Analysis

(2010) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

On the relative value of cross-company and within-company data for defect prediction

(2009) Burak Turhan et al.   EMPIRICAL SOFTWARE ENGINEERING

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Data gravitation based classification

(2008) L PENG et al.   INFORMATION SCIENCES