Tackling class overlap and imbalance problems in software defect prediction

Software defect prediction using cost-sensitive neural network

(2015) Ömer Faruk Arar et al.   APPLIED SOFT COMPUTING

A systematic review of machine learning techniques for software fault prediction

(2015) Ruchika Malhotra   APPLIED SOFT COMPUTING

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

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

(2014) Duksan Ryu et al.   EMPIRICAL SOFTWARE ENGINEERING

Two-Stage Cost-Sensitive Learning for Software Defect Prediction

(2014) Mingxia Liu et al.   IEEE TRANSACTIONS ON RELIABILITY

Using Class Imbalance Learning for Software Defect Prediction

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

Local versus Global Lessons for Defect Prediction and Effort Estimation

(2013) Tim Menzies et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

Data Quality: Some Comments on the NASA Software Defect Datasets

(2013) Martin Shepperd et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics

(2013) Victoria López et al.   INFORMATION SCIENCES

Evaluating Stratification Alternatives to Improve Software Defect Prediction

(2012) Lourdes Pelayo et al.   IEEE TRANSACTIONS ON RELIABILITY

Empirical evaluation of the effects of mixed project data on learning defect predictors

(2012) Burak Turhan et al.   INFORMATION AND SOFTWARE TECHNOLOGY

A Systematic Literature Review on Fault Prediction Performance in Software Engineering

(2011) T. Hall et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

A General Software Defect-Proneness Prediction Framework

(2010) Qinbao Song et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

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

(2009) Burak Turhan et al.   EMPIRICAL SOFTWARE ENGINEERING

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Evolutionary Sampling and Software Quality Modeling of High-Assurance Systems

(2009) D.J. Drown et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS

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

RUSBoost: A Hybrid Approach to Alleviating Class Imbalance

(2009) Chris Seiffert et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS

A systematic review of software fault prediction studies

(2008) Cagatay Catal et al.   EXPERT SYSTEMS WITH APPLICATIONS

Exploratory Undersampling for Class-Imbalance Learning

(2008) Xu-Ying Liu et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Applying machine learning to software fault-proneness prediction

(2007) Iker Gondra   JOURNAL OF SYSTEMS AND SOFTWARE