A feature selection approach based on a similarity measure for software defect prediction

Frontiers of Information Technology & Electronic Engineering ◽

10.1631/fitee.1601322 ◽

2017 ◽

Vol 18 (11) ◽

pp. 1744-1753 ◽

Author(s):

Qiao Yu ◽

Shu-juan Jiang ◽

Rong-cun Wang ◽

Hong-yang Wang

Keyword(s):

Feature Selection ◽

Similarity Measure ◽

Defect Prediction ◽

Software Defect Prediction ◽

Software Defect ◽

Selection Approach ◽

Feature Selection Approach

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Mutual information-based feature selection approach for software defect prediction

Journal of Computer Applications ◽

10.3724/sp.j.1087.2012.01738 ◽

2013 ◽

Vol 32 (6) ◽

pp. 1738-1740 ◽

Author(s):

Pei WANG ◽

Cong JIN ◽

He-he GE

Keyword(s):

Feature Selection ◽

Mutual Information ◽

Defect Prediction ◽

Software Defect Prediction ◽

Software Defect ◽

Selection Approach ◽

Feature Selection Approach

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RFC: A feature selection algorithm for software defect prediction

Journal of Systems Engineering and Electronics ◽

10.23919/jsee.2021.000032 ◽

2021 ◽

Vol 32 (2) ◽

pp. 389-398

Author(s):

Xu Xiaolong ◽

Chen Wen ◽

Wang Xinheng

Keyword(s):

Feature Selection ◽

Defect Prediction ◽

Software Defect Prediction ◽

Selection Algorithm ◽

Feature Selection Algorithm ◽

Software Defect

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A Novel Feature Selection Approach based on Binary Particle Swarm Optimization and Ensemble Learning for Heterogeneous Defect Prediction

2021 3rd Asia Pacific Information Technology Conference ◽

10.1145/3449365.3449384 ◽

2021 ◽

Author(s):

Ruchika Malhotra ◽

Anmol Budhiraja ◽

Abhinav Kumar Singh ◽

Ishani Ghoshal

Keyword(s):

Feature Selection ◽

Particle Swarm Optimization ◽

Ensemble Learning ◽

Particle Swarm ◽

Defect Prediction ◽

Binary Particle Swarm Optimization ◽

Swarm Optimization ◽

Selection Approach ◽

Feature Selection Approach ◽

Heterogeneous Defect Prediction

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Search-Based Wrapper Feature Selection Methods in Software Defect Prediction: An Empirical Analysis

Intelligent Algorithms in Software Engineering - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-030-51965-0_43 ◽

2020 ◽

pp. 492-503 ◽

Author(s):

Abdullateef O. Balogun ◽

Shuib Basri ◽

Said A. Jadid ◽

Saipunidzam Mahamad ◽

Malek A. Al-momani ◽

...

Keyword(s):

Feature Selection ◽

Empirical Analysis ◽

Defect Prediction ◽

Software Defect Prediction ◽

Selection Methods ◽

Software Defect ◽

Wrapper Feature Selection

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A Feature Selection Based Model for Software Defect Prediction

International Journal of Advanced Science and Technology ◽

10.14257/ijast.2014.65.04 ◽

2014 ◽

Vol 65 ◽

pp. 39-58 ◽

Author(s):

Sonali Agarwal ◽

Divya Tomar

Keyword(s):

Feature Selection ◽

Defect Prediction ◽

Software Defect Prediction ◽

Software Defect

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Software Defect Prediction Based on Data Sampling and Multivariate Filter Feature Selection

Proceedings of the 2018 2nd International Conference on Artificial Intelligence: Technologies and Applications (ICAITA 2018) ◽

10.2991/icaita-18.2018.33 ◽

2018 ◽

Author(s):

Yating Lin ◽

Yiwen Zhong

Keyword(s):

Feature Selection ◽

Defect Prediction ◽

Software Defect Prediction ◽

Data Sampling ◽

Software Defect

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Feature Selection and Software Defect Prediction by Different Ensemble Classifiers

10.1007/978-3-030-86472-9_28 ◽

2021 ◽

pp. 307-313

Author(s):

Natalya Shakhovska ◽

Vitaliy Yakovyna

Keyword(s):

Feature Selection ◽

Defect Prediction ◽

Software Defect Prediction ◽

Ensemble Classifiers ◽

Software Defect

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Feature selection using firefly algorithm in software defect prediction

Cluster Computing ◽

10.1007/s10586-017-1235-3 ◽

2017 ◽

Vol 22 (S5) ◽

pp. 10925-10934 ◽

Author(s):

M. Anbu ◽

G. S. Anandha Mala

Keyword(s):

Feature Selection ◽

Firefly Algorithm ◽

Defect Prediction ◽

Software Defect Prediction ◽

Software Defect

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Software Defect Prediction using Feature Selection and Random Forest Algorithm

2017 International Conference on New Trends in Computing Sciences (ICTCS) ◽

10.1109/ictcs.2017.39 ◽

2017 ◽

Author(s):

Dyana Rashid Ibrahim ◽

Rawan Ghnemat ◽

Amjad Hudaib

Keyword(s):

Feature Selection ◽

Random Forest ◽

Defect Prediction ◽

Software Defect Prediction ◽

Random Forest Algorithm ◽

Software Defect

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An empirical study on pareto based multi-objective feature selection for software defect prediction

Journal of Systems and Software ◽

10.1016/j.jss.2019.03.012 ◽

2019 ◽

Vol 152 ◽

pp. 215-238 ◽

Author(s):

Chao Ni ◽

Xiang Chen ◽

Fangfang Wu ◽

Yuxiang Shen ◽

Qing Gu

Keyword(s):

Feature Selection ◽

Empirical Study ◽

Defect Prediction ◽

Software Defect Prediction ◽

Multi Objective ◽

Software Defect ◽

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