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Empirical Analysis of Rank Aggregation-Based Multi-Filter Feature Selection Methods in Software Defect Prediction

https://doi.org/10.3390/electronics10020179

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Applied Predictive Modeling

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The Organisational Factors of Software Process Improvement in Small Software Industry: Comparative Study

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Effect of Feature Selection in Software Fault Detection

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SMOTE-Based Homogeneous Ensemble Methods for Software Defect Prediction

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Towards Benchmarking Feature Subset Selection Methods for Software Fault Prediction

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Bug Severity Classification Using Semantic Feature with Convolution Neural Network

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Recent advances in feature selection and its applications

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Feature selection using firefly algorithm in software defect prediction

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Software defect prediction using Bayesian networks

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Phishing Website Detection: Forest by Penalizing Attributes Algorithm and Its Enhanced Variations

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A survey on feature selection methods

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A systematic review of unsupervised learning techniques for software defect prediction

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Investigating the effect of dataset size, metrics sets, and feature selection techniques on software fault prediction problem

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Feature selection in machine learning: A new perspective

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A Hybrid Feature Selection Method for Software Defect Prediction

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AI Meta-Learners and Extra-Trees Algorithm for the Detection of Phishing Websites

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Feature selection in software defect prediction: A comparative study

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Mining Static Code Metrics for a Robust Prediction of Software Defect-Proneness

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Attribute Selection in Software Engineering Datasets for Detecting Fault Modules

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A Comparative Study of Ensemble Feature Selection Techniques for Software Defect Prediction

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The Impact of Feature Selection on Defect Prediction Performance: An Empirical Comparison

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A Large-Scale Study of the Impact of Feature Selection Techniques on Defect Classification Models

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A new metrics selection method for software defect prediction

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The Role of Attribute Ranker using classification for Software Defect-Prone Data-sets Model: An Empirical Comparative Study

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

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Data Quality: Some Comments on the NASA Software Defect Datasets

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Comments on “Researcher Bias: The Use of Machine Learning in Software Defect Prediction”

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The Impact of Automated Parameter Optimization on Defect Prediction Models

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METRIC SELECTION FOR SOFTWARE DEFECT PREDICTION

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The WEKA data mining software

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A comparative study of feature-ranking and feature-subset selection techniques for improved fault prediction

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Preliminary comparison of techniques for dealing with imbalance in software defect prediction

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Ensemble-based multi-filter feature selection method for DDoS detection in cloud computing

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The Performance Stability of Defect Prediction Models with Class Imbalance: An Empirical Study

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Geometric or Arithmetic Mean: A Reconsideration

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Performance Analysis of Feature Selection Methods in Software Defect Prediction: A Search Method Approach

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Impact of Feature Selection Methods on the Predictive Performance of Software Defect Prediction Models: An Extensive Empirical Study

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DSP: Schema Design for Non-Relational Applications

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Impact of feature selection on classification via clustering techniques in software defect prediction

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Software defect prediction: A multi-criteria decision-making approach

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Comparative Analysis of Selected Heterogeneous Classifiers for Software Defects Prediction Using Filter-Based Feature Selection Methods

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Software Defect Prediction Using Ensemble Learning: An ANP Based Evaluation Method

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Software fault prediction with imbalanced datasets using SMOTE-Tomek sampling technique and Genetic Algorithm models

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