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Choosing software metrics for defect prediction: an investigation on feature selection techniques

Software, practice & experience, 2011-04, Vol.41 (5), p.579-606

2011

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A Comprehensive Empirical Study of Count Models for Software Fault Prediction

IEEE transactions on reliability, 2007-06, Vol.56 (2), p.223-236

2007

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A comparative study of iterative and non-iterative feature selection techniques for software defect prediction

Information systems frontiers, 2014-11, Vol.16 (5), p.801-822

2014

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Count Models for Software Quality Estimation

IEEE transactions on reliability, 2007-06, Vol.56 (2), p.212-222

2007

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Qili Qiangxin capsule attenuates myocardial fibrosis by modulating collagen homeostasis post-infarction in rats

PloS one, 2024-09, Vol.19 (9), p.e0310897

2024

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Inductive monitoring system based fault detection for liquid-propellant rocket engines

2015 34th Chinese Control Conference (CCC), 2015, p.6131-6135

2015

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Software quality assessment using a multi-strategy classifier

Information sciences, 2014-02, Vol.259, p.555-570

2014

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System regression test planning with a fuzzy expert system

Information sciences, 2014-02, Vol.259, p.532-543

2014

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Artificial Bee Colony approach to parameters optimization of Pulse Coupled Neural Networks

IEEE 10th International Conference on Industrial Informatics, 2012, p.128-132

2012

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Attribute Selection and Imbalanced Data: Problems in Software Defect Prediction

2010 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010, Vol.1, p.137-144

2010

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AN EMPIRICAL STUDY OF FEATURE RANKING TECHNIQUES FOR SOFTWARE QUALITY PREDICTION

International journal of software engineering and knowledge engineering, 2012-03, Vol.22 (2), p.161-183

2012

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Predicting high-risk program modules by selecting the right software measurements

Software quality journal, 2012-03, Vol.20 (1), p.3-42

2012

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Aggregating Data Sampling with Feature Subset Selection to Address Skewed Software Defect Data

International journal of software engineering and knowledge engineering, 2015-11, Vol.25 (9n10), p.1531-1550

2015

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METRIC SELECTION FOR SOFTWARE DEFECT PREDICTION

International journal of software engineering and knowledge engineering, 2011-03, Vol.21 (2), p.237-257

2011

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Investigating Two Approaches for Adding Feature Ranking to Sampled Ensemble Learning for Software Quality Estimation

International journal of software engineering and knowledge engineering, 2015-02, Vol.25 (1), p.115-146

2015

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THE USE OF UNDER- AND OVERSAMPLING WITHIN ENSEMBLE FEATURE SELECTION AND CLASSIFICATION FOR SOFTWARE QUALITY PREDICTION

International journal of reliability, quality, and safety engineering, 2014-02, Vol.21 (1), p.1450004-1-1450004-26

2014

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The Use of Ensemble-Based Data Preprocessing Techniques for Software Defect Prediction

International journal of software engineering and knowledge engineering, 2014-11, Vol.24 (9), p.1229-1253

2014

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An Empirical Investigation of Combining Filter-Based Feature Subset Selection and Data Sampling for Software Defect Prediction

International journal of reliability, quality, and safety engineering, 2015-12, Vol.22 (6), p.1550027

2015

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Detecting Outliers Using Rule-Based Modeling for Improving CBR-Based Software Quality Classification Models

Case-Based Reasoning Research and Development, 2003, Vol.2689, p.216-230

2003

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Assessments of Feature Selection Techniques with Respect to Data Sampling for Highly Imbalanced Software Measurement Data

International journal of reliability, quality, and safety engineering, 2015-04, Vol.22 (2), p.1550010-1-1550010-32

2015

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Feature Selection with Imbalanced Data for Software Defect Prediction

2009 International Conference on Machine Learning and Applications, 2009, p.235-240

2009

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Comparing Feature Selection Techniques for Software Quality Estimation Using Data-Sampling-Based Boosting Algorithms

International journal of reliability, quality, and safety engineering, 2015-06, Vol.22 (3), p.1550013-1-1550013-28

2015

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Improving software quality estimation by combining feature selection strategies with sampled ensemble learning

Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration (IEEE IRI 2014), 2014, p.428-433

2014

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Improving Software Quality Estimation by Combining Boosting and Feature Selection

2013 12th International Conference on Machine Learning and Applications, 2013, Vol.1, p.27-33

2013

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A comparative study of filter-based feature ranking techniques

2010 IEEE International Conference on Information Reuse & Integration, 2010, p.43-48

2010

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Choosing software metrics for defect prediction: an investigation on feature selection techniques

A Comprehensive Empirical Study of Count Models for Software Fault Prediction

A comparative study of iterative and non-iterative feature selection techniques for software defect prediction

Count Models for Software Quality Estimation

Qili Qiangxin capsule attenuates myocardial fibrosis by modulating collagen homeostasis post-infarction in rats

Inductive monitoring system based fault detection for liquid-propellant rocket engines

Software quality assessment using a multi-strategy classifier

System regression test planning with a fuzzy expert system

Artificial Bee Colony approach to parameters optimization of Pulse Coupled Neural Networks

Attribute Selection and Imbalanced Data: Problems in Software Defect Prediction

AN EMPIRICAL STUDY OF FEATURE RANKING TECHNIQUES FOR SOFTWARE QUALITY PREDICTION

Predicting high-risk program modules by selecting the right software measurements

Aggregating Data Sampling with Feature Subset Selection to Address Skewed Software Defect Data

METRIC SELECTION FOR SOFTWARE DEFECT PREDICTION

Investigating Two Approaches for Adding Feature Ranking to Sampled Ensemble Learning for Software Quality Estimation

THE USE OF UNDER- AND OVERSAMPLING WITHIN ENSEMBLE FEATURE SELECTION AND CLASSIFICATION FOR SOFTWARE QUALITY PREDICTION

The Use of Ensemble-Based Data Preprocessing Techniques for Software Defect Prediction

An Empirical Investigation of Combining Filter-Based Feature Subset Selection and Data Sampling for Software Defect Prediction

Detecting Outliers Using Rule-Based Modeling for Improving CBR-Based Software Quality Classification Models

Assessments of Feature Selection Techniques with Respect to Data Sampling for Highly Imbalanced Software Measurement Data

Feature Selection with Imbalanced Data for Software Defect Prediction

Comparing Feature Selection Techniques for Software Quality Estimation Using Data-Sampling-Based Boosting Algorithms

Improving software quality estimation by combining feature selection strategies with sampled ensemble learning

Improving Software Quality Estimation by Combining Boosting and Feature Selection

A comparative study of filter-based feature ranking techniques

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