Journal of Software Engineering and Applications

Journal of Software Engineering and Applications

ISSN Print: 1945-3116
ISSN Online: 1945-3124
www.scirp.org/journal/jsea
E-mail: jsea@scirp.org
"Software Defect Prediction Using Supervised Machine Learning and Ensemble Techniques: A Comparative Study"
written by Abdullah Alsaeedi, Mohammad Zubair Khan,
published by Journal of Software Engineering and Applications, Vol.12 No.5, 2019
has been cited by the following article(s):
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[6] Software Defect Prediction Using an Intelligent Ensemble-Based Model
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[7] Insights of effectivity analysis of learning-based approaches towards software defect prediction
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[13] Software Defect Prediction Based Ensemble Approach.
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[15] Combat with Class Overlapping in Software Defect Prediction Using Neighbourhood Metric
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[84] Exclusive use and evaluation of inheritance metrics viability in software fault prediction—an experimental study
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[89] Bootstrap aggregation ensemble learning-based reliable approach for software defect prediction by using characterized code feature
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[90] Software Defect Severity Level Prediction Using Machine Learning Techniques
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[91] Software fault prediction based on the dynamic selection of learning technique: findings from the eclipse project study
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[92] Hybrid Ensemble Learning Technique for Software Defect Prediction.
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[102] Investigation of Dataset Features for Just-in-Time Defect Prediction
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[103] Performance Evaluation of Some Machine Learning Algorithms in NASA Defect Prediction Data Sets
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