has been cited by the following article(s):
[1]
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Evaluating the Impact of Data Transformation Techniques on the Performance and Interpretability of Software Defect Prediction Models
IET Software,
2023
DOI:10.1049/2023/6293074
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[2]
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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
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[3]
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Soft Computing: Theories and Applications
Advances in Intelligent Systems and Computing,
2020
DOI:10.1007/978-981-15-0751-9_66
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[4]
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Software Defect Prediction Using Heterogeneous Ensemble Classification Based on Segmented Patterns
Applied Sciences,
2020
DOI:10.3390/app10051745
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[5]
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Can we Predict Performance Events with Time Series Data from Monitoring Multiple Systems?
Companion of the 2019 ACM/SPEC International Conference on Performance Engineering,
2019
DOI:10.1145/3302541.3313101
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[6]
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Can we Predict Performance Events with Time Series Data from Monitoring Multiple Systems?
Companion of the 2019 ACM/SPEC International Conference on Performance Engineering - ICPE '19,
2019
DOI:10.1145/3302541.3313101
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[7]
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A robust weighted SVR-based software reliability growth model
Reliability Engineering & System Safety,
2018
DOI:10.1016/j.ress.2018.04.007
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[8]
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Optimal Release Time Estimation of Software System using Box-Cox Transformation and Neural Network
International Journal of Mathematical, Engineering and Management Sciences,
2018
DOI:10.33889/IJMEMS.2018.3.2-014
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