Software defect prediction based on enhanced metaheuristic feature selection optimization and a hybrid deep neural network

Deep-Net: A Lightweight CNN-Based Speech Emotion Recognition System Using Deep Frequency Features

(2020) Tursunov Anvarjon et al.   SENSORS

The impact of feature reduction techniques on defect prediction models

(2019) Masanari Kondo et al.   EMPIRICAL SOFTWARE ENGINEERING

Heterogeneous defect prediction with two-stage ensemble learning

(2019) Zhiqiang Li et al.   Automated Software Engineering

Improving defect prediction with deep forest

(2019) Tianchi Zhou et al.   INFORMATION AND SOFTWARE TECHNOLOGY

Detecting requirements defects with NLP patterns: an industrial experience in the railway domain

(2018) Alessio Ferrari et al.   EMPIRICAL SOFTWARE ENGINEERING

The Impact of Automated Parameter Optimization on Defect Prediction Models

(2018) Chakkrit Tantithamthavorn et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

A hybrid deep learning CNN–ELM for age and gender classification

(2018) Mingxing Duan et al.   NEUROCOMPUTING

Balancing the trade-off between accuracy and interpretability in software defect prediction

(2018) Toshiki Mori et al.   EMPIRICAL SOFTWARE ENGINEERING

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

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

Iterated feature selection algorithms with layered recurrent neural network for software fault prediction

(2018) Hamza Turabieh et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

(2017) Seyedrebvar Hosseini et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

On the Multiple Sources and Privacy Preservation Issues for Heterogeneous Defect Prediction

(2017) Zhiqiang Li 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

Heterogeneous Defect Prediction

(2017) Jaechang Nam et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

An Empirical Comparison of Model Validation Techniques for Defect Prediction Models

(2017) Chakkrit Tantithamthavorn et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

TLEL: A two-layer ensemble learning approach for just-in-time defect prediction

(2017) Xinli Yang et al.   INFORMATION AND SOFTWARE TECHNOLOGY

Fast learning method for convolutional neural networks using extreme learning machine and its application to lane detection

(2017) Jihun Kim et al.   NEURAL NETWORKS

Hybrid Whale Optimization Algorithm with simulated annealing for feature selection

(2017) Majdi M. Mafarja et al.   NEUROCOMPUTING

The Whale Optimization Algorithm

(2016) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

Empirical analysis of network measures for effort-aware fault-proneness prediction

(2016) Wanwangying Ma et al.   INFORMATION AND SOFTWARE TECHNOLOGY

Binary ant lion approaches for feature selection

(2016) E. Emary et al.   NEUROCOMPUTING

Non-negative sparse-based SemiBoost for software defect prediction

(2016) Tiejian Wang et al.   SOFTWARE TESTING VERIFICATION & RELIABILITY

Trends in extreme learning machines: A review

(2015) Gao Huang et al.   NEURAL NETWORKS

Diffusion Maps for dimensionality reduction and visualization of meteorological data

(2015) Ángela Fernández et al.   NEUROCOMPUTING

An advanced ACO algorithm for feature subset selection

(2015) Shima Kashef et al.   NEUROCOMPUTING

Data Partition Learning With Multiple Extreme Learning Machines

(2015) Yimin Yang et al.   IEEE Transactions on Cybernetics

Two-Stage Cost-Sensitive Learning for Software Defect Prediction

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

AN EMPIRICAL STUDY OF FEATURE RANKING TECHNIQUES FOR SOFTWARE QUALITY PREDICTION

(2012) TAGHI M. KHOSHGOFTAAR et al.   INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING

Stochastic neighbor embedding (SNE) for dimension reduction and visualization using arbitrary divergences

(2012) Kerstin Bunte et al.   NEUROCOMPUTING

Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach

(2012) Bing Xue et al.   IEEE Transactions on Cybernetics

Sample-based software defect prediction with active and semi-supervised learning

(2011) Ming Li et al.   Automated Software Engineering

Evaluating defect prediction approaches: a benchmark and an extensive comparison

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

Extreme Learning Machine for Regression and Multiclass Classification

(2011) Guang-Bin Huang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Transfer learning for cross-company software defect prediction

(2011) Ying Ma et al.   INFORMATION AND SOFTWARE TECHNOLOGY

An empirical study of the classification performance of learners on imbalanced and noisy software quality data

(2011) Chris Seiffert et al.   INFORMATION SCIENCES

METRIC SELECTION FOR SOFTWARE DEFECT PREDICTION

(2011) HUANJING WANG et al.   INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING

Predicting defect-prone software modules using support vector machines

(2007) Karim O. Elish et al.   JOURNAL OF SYSTEMS AND SOFTWARE