On the relative value of data resampling approaches for software defect prediction

Software defect prediction using ensemble learning on selected features

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

Two-Stage Cost-Sensitive Learning for Software Defect Prediction

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

Which process metrics can significantly improve defect prediction models? An empirical study

(2014) Lech Madeyski et al.   SOFTWARE QUALITY JOURNAL

Using Class Imbalance Learning for Software Defect Prediction

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

Active learning and effort estimation: Finding the essential content of software effort estimation data

(2013) Ekrem Kocaguneli et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

Software fault prediction metrics: A systematic literature review

(2013) Danijel Radjenović et al.   INFORMATION AND SOFTWARE TECHNOLOGY

MWMOTE--Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning

(2012) Sukarna Barua 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

An investigation on the feasibility of cross-project defect prediction

(2011) Zhimin He et al.   Automated Software Engineering

Evaluating defect prediction approaches: a benchmark and an extensive comparison

(2011) Marco D’Ambros et al.   EMPIRICAL SOFTWARE ENGINEERING

Exploiting the Essential Assumptions of Analogy-Based Effort Estimation

(2011) E. Kocaguneli et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

A Systematic Literature Review on Fault Prediction Performance in Software Engineering

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

On the effectiveness of preprocessing methods when dealing with different levels of class imbalance

(2011) V. García et al.   KNOWLEDGE-BASED SYSTEMS

Defect prediction from static code features: current results, limitations, new approaches

(2010) Tim Menzies et al.   Automated Software Engineering

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

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

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 and comprehensive investigation of methods to build and evaluate fault prediction models

(2009) Erik Arisholm et al.   JOURNAL OF SYSTEMS AND SOFTWARE

Techniques for evaluating fault prediction models

(2008) Yue Jiang et al.   EMPIRICAL SOFTWARE ENGINEERING

Benchmarking Classification Models for Software Defect Prediction: A Proposed Framework and Novel Findings

(2008) S. Lessmann et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

SVMs Modeling for Highly Imbalanced Classification

(2008) Yuchun Tang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS