Software Defect Prediction Using Supervised Machine Learning and Ensemble Techniques: A Comparative Study

Journal of Software Engineering and Applications

ISSN Print: 1945-3116
ISSN Online: 1945-3124
www.scirp.net/journal/jsea
E-mail: [email protected]

Citations

"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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[83]	Software Engineering Perspectives in Systems Lecture Notes in Networks and Systems, 2022 DOI:10.1007/978-3-031-09070-7_49

[84]	Computational Science and Its Applications – ICCSA 2022 Workshops Lecture Notes in Computer Science, 2022 DOI:10.1007/978-3-031-10548-7_27

[85]	Heterogeneous Fault Prediction Using Feature Selection and Supervised Learning Algorithms Vietnam Journal of Computer Science, 2022 DOI:10.1142/S2196888822500142

[86]	Software Defect Prediction through Neural Network and Feature Selections Applied Computational Intelligence and Soft Computing, 2022 DOI:10.1155/2022/2581832

[87]	Prediction of software defects using deep learning with improved cuckoo search algorithm Concurrency and Computation: Practice and Experience, 2022 DOI:10.1002/cpe.7305

[88]	A clustering approach for software defect prediction using hybrid social mimic optimization algorithm Computing, 2022 DOI:10.1007/s00607-022-01100-6

[89]	A feature selection model for software defect prediction using binary Rao optimization algorithm Applied Soft Computing, 2022 DOI:10.1016/j.asoc.2022.109737

[90]	A Study on Predicting Software Defects with Machine Learning Algorithms 2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET), 2022 DOI:10.1109/ICIIET55458.2022.9967593

[91]	Software Defect Prediction Technology Based on Fuzzy Support Vector Machine 2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC), 2022 DOI:10.1109/ICMNWC56175.2022.10031775

[92]	Advances in Communication and Computational Technology Lecture Notes in Electrical Engineering, 2021 DOI:10.1007/978-981-15-5341-7_95

[93]	Intelligent and Cloud Computing Smart Innovation, Systems and Technologies, 2021 DOI:10.1007/978-981-15-5971-6_10

[94]	Software Defect Prediction for Healthcare Big Data: An Empirical Evaluation of Machine Learning Techniques Journal of Healthcare Engineering, 2021 DOI:10.1155/2021/8899263

[95]	Exclusive use and evaluation of inheritance metrics viability in software fault prediction—an experimental study PeerJ Computer Science, 2021 DOI:10.7717/peerj-cs.563

[96]	A Novel Ensemble Model on Defects Identification in Aero-Engine Blade Processes, 2021 DOI:10.3390/pr9060992

[97]	Handbook of Research on Modeling, Analysis, and Control of Complex Systems Advances in Systems Analysis, Software Engineering, and High Performance Computing, 2021 DOI:10.4018/978-1-7998-5788-4.ch013

[98]	OCEAn: Ordinal classification with an ensemble approach Information Sciences, 2021 DOI:10.1016/j.ins.2021.08.081

[99]	Software fault prediction based on the dynamic selection of learning technique: findings from the eclipse project study Applied Intelligence, 2021 DOI:10.1007/s10489-021-02346-x

[100]	Bootstrap aggregation ensemble learning-based reliable approach for software defect prediction by using characterized code feature Innovations in Systems and Software Engineering, 2021 DOI:10.1007/s11334-021-00399-2

[101]	Software Defect Prediction Approaches: A Review 2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART), 2021 DOI:10.1109/BioSMART54244.2021.9677869

[102]	Investigating Tree Family Machine Learning Techniques for a Predictive System to Unveil Software Defects Complexity, 2020 DOI:10.1155/2020/6688075

[103]	Software bug prediction and classification by global pooling of different activation of convolution layers Materials Today: Proceedings, 2020 DOI:10.1016/j.matpr.2020.10.598

[104]	Performance Assessment of Classification Algorithms on Early Detection of Liver Syndrome Journal of Healthcare Engineering, 2020 DOI:10.1155/2020/6680002

[105]	Software Defects Prediction using Machine Learning Algorithms 2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI), 2020 DOI:10.1109/ICDABI51230.2020.9325677

[106]	Efficacy of Inheritance Aspect in Software Fault Prediction—A Survey Paper IEEE Access, 2020 DOI:10.1109/ACCESS.2020.3022087

[107]	Feature-oriented defect prediction Proceedings of the 24th ACM Conference on Systems and Software Product Line: Volume A - Volume A, 2020 DOI:10.1145/3382025.3414960

[108]	Performance Evaluation of Some Machine Learning Algorithms in NASA Defect Prediction Data Sets 2020 5th International Conference on Computer Science and Engineering (UBMK), 2020 DOI:10.1109/UBMK50275.2020.9219531

[109]	Novel XGBoost Tuned Machine Learning Model for Software Bug Prediction 2020 International Conference on Intelligent Engineering and Management (ICIEM), 2020 DOI:10.1109/ICIEM48762.2020.9160152

[110]	Software Defect Prediction using Hybrid Approach 2019 International Conference on Advanced Information Technologies (ICAIT), 2019 DOI:10.1109/AITC.2019.8921374

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