has been cited by the following article(s):
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[1]
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Identifying measures that represent the variance in novice programmers' code
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2023 |
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[2]
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On the Value of Code Embedding and Imbalanced Learning Approaches for Software Defect Prediction
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Mai-Anh, N Nhat-Hai - … of the 12th International Symposium on …,
2023 |
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[3]
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Comparative Analysis on the Evaluation of the Complexity of C, C++, Java, PHP and Python Programming Languages based on Halstead Software Science
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2023 |
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[4]
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Quality-Aware Learning to Prioritize Test Cases
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2022 |
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[5]
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Quality-Aware Learning to Prioritize Test Cases.
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2022 |
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[6]
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Investigating Quality and Security in Mobile Software
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2022 |
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[7]
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The SoftWipe tool and benchmark for assessing coding standards adherence of scientific software
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2021 |
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[8]
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Machine Learning Techniques for Software Quality Assurance: A Survey
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2021 |
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[9]
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Evaluating Python, C++, JavaScript and Java Programming Languages Based on Software Complexity Calculator (Halstead Metrics)
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2021 |
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[10]
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Generation of Secure Runtime Environments for Untrusted Applications Through Machine Code Analysis
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2021 |
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[11]
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A MULTILANGUAGE COMPLEXITY MEASUREMENT TOOL FOR CODE QUALITY ASSESSMENT OF SOFTWARE USING CYCLOMATIC COMPLEXITY APPROACH
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Journal of Natural Sciences …,
2021 |
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[12]
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Deep Learning for Software Defect Prediction: A Survey
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2020 |
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[13]
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Performance Evaluation of a Code Complexity Measurement Tool: An Empirical Approach
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2020 |
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[14]
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Causal Inference for Theory Building in Software Evolution Work in Progress
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2020 |
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[15]
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An Enhanced Fault Prediction Model for Embedded Software based on Code Churn, Complexity Metrics, and Static Analysis Results
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2019 |
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[1]
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Machine learning approach for classification from imbalanced software defect data using PCA & CSANFIS
Materials Today: Proceedings,
2021
DOI:10.1016/j.matpr.2021.01.471
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[2]
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The SoftWipe tool and benchmark for assessing coding standards adherence of scientific software
Scientific Reports,
2021
DOI:10.1038/s41598-021-89495-8
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[3]
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Evaluating Python, C++, JavaScript and Java Programming Languages Based on Software Complexity Calculator (Halstead Metrics)
IOP Conference Series: Materials Science and Engineering,
2021
DOI:10.1088/1757-899X/1076/1/012046
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[4]
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The SoftWipe tool and benchmark for assessing coding standards adherence of scientific software
Scientific Reports,
2021
DOI:10.1038/s41598-021-89495-8
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[5]
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Deep Learning for Software Defect Prediction
Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops,
2020
DOI:10.1145/3387940.3391463
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