The impact of using biased performance metrics on software defect prediction research

Cross-version defect prediction: use historical data, cross-project data, or both?

(2020) Sousuke Amasaki   EMPIRICAL SOFTWARE ENGINEERING

Predicting the number of defects in a new software version

(2020) Ebubeogu Amarachukwu Felix et al.   PLoS One

Automated defect identification via path analysis-based features with transfer learning

(2020) Yuwei Zhang et al.   JOURNAL OF SYSTEMS AND SOFTWARE

On the assessment of software defect prediction models via ROC curves

(2020) Sandro Morasca et al.   EMPIRICAL SOFTWARE ENGINEERING

On the time-based conclusion stability of cross-project defect prediction models

(2020) Abdul Ali Bangash et al.   EMPIRICAL SOFTWARE ENGINEERING

Cost-sensitive Dictionary Learning for Software Defect Prediction

(2020) Liang Niu et al.   NEURAL PROCESSING LETTERS

Investigating Tree Family Machine Learning Techniques for a Predictive System to Unveil Software Defects

(2020) Rashid Naseem et al.   COMPLEXITY

Imbalanced metric learning for crashing fault residence prediction

(2020) Zhou Xu et al.   JOURNAL OF SYSTEMS AND SOFTWARE

Empirical Study of Software Defect Prediction: A Systematic Mapping

(2019) Le Son et al.   Symmetry-Basel

The open science initiative of the Empirical Software Engineering journal

(2019) Daniel Méndez Fernández et al.   EMPIRICAL SOFTWARE ENGINEERING

An Improved CNN Model for Within-Project Software Defect Prediction

(2019) Pan et al.   Applied Sciences-Basel

The impact of class imbalance in classification performance metrics based on the binary confusion matrix

(2019) Amalia Luque et al.   PATTERN RECOGNITION

Software defect prediction using over-sampling and feature extraction based on Mahalanobis distance

(2019) Mohammad Mahdi NezhadShokouhi et al.   JOURNAL OF SUPERCOMPUTING

BPDET: An effective software bug prediction model using deep representation and ensemble learning techniques

(2019) Sushant Kumar Pandey et al.   EXPERT SYSTEMS WITH APPLICATIONS

Correlation Coefficients

(2018) Patrick Schober et al.   ANESTHESIA AND ANALGESIA

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

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

Early software defect prediction: A systematic map and review

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

Guidelines for including grey literature and conducting multivocal literature reviews in software engineering

(2018) Vahid Garousi et al.   INFORMATION AND SOFTWARE TECHNOLOGY

Software defect prediction based on kernel PCA and weighted extreme learning machine

(2018) Zhou Xu et al.   INFORMATION AND SOFTWARE TECHNOLOGY

A Systematic Literature Review and Meta-Analysis on Cross Project Defect Prediction

(2017) Seyedrebvar Hosseini 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

Software defect prediction: do different classifiers find the same defects?

(2017) David Bowes et al.   SOFTWARE QUALITY JOURNAL

A note on using the F-measure for evaluating record linkage algorithms

(2017) David Hand et al.   STATISTICS AND COMPUTING

Reproducibility: A tragedy of errors

(2016) David B. Allison et al.   NATURE

A systematic review of machine learning techniques for software fault prediction

(2015) Ruchika Malhotra   APPLIED SOFT COMPUTING

Towards building a universal defect prediction model with rank transformed predictors

(2015) Feng Zhang et al.   EMPIRICAL SOFTWARE ENGINEERING

A framework for comparing multiple cost estimation methods using an automated visualization toolkit

(2015) Nikolaos Mittas et al.   INFORMATION AND SOFTWARE TECHNOLOGY

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

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

DConfusion: a technique to allow cross study performance evaluation of fault prediction studies

(2013) David Bowes et al.   Automated Software Engineering

Using Class Imbalance Learning for Software Defect Prediction

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

A Systematic Literature Review on Fault Prediction Performance in Software Engineering

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

Splitting a Predictor at the Upper Quarter or Third and the Lower Quarter or Third

(2009) Andrew Gelman et al.   AMERICAN STATISTICIAN

A systematic analysis of performance measures for classification tasks

(2009) Marina Sokolova et al.   INFORMATION PROCESSING & MANAGEMENT

CLASSIFICATION OF IMBALANCED DATA: A REVIEW

(2009) YANMIN SUN et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

Measuring classifier performance: a coherent alternative to the area under the ROC curve

(2009) David J. Hand   MACHINE LEARNING

Reproducible Research in Computational Harmonic Analysis

(2008) David L. Donoho et al.   COMPUTING IN SCIENCE & ENGINEERING

A systematic review of software fault prediction studies

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