Record link: 
https://doi.org/10.34726/hss.2025.124198
http://hdl.handle.net/20.500.12708/213269
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Title: 
Predicting bugs in source code : A machine learning approach for predicting faults by utilizing code and change metrics
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Citation: 
Felder, J. (2025). Predicting bugs in source code : A machine learning approach for predicting faults by utilizing code and change metrics [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.124198
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reposiTUm DOI: 
10.34726/hss.2025.124198
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CatalogPlus: 
AC17467640
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Publication Type: 
Thesis - Diplomarbeit
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Language: 
English
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Authors: 
Felder, Jodok 
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Advisor: 
Weippl, Edgar 
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Co-advisor: 
Schatten, Alexander 
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Organisational Unit: 
E194 - Institut für Information Systems Engineering 
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Date (published): 
2025
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Number of Pages: 
84
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Keywords: 
Machine Learning; Bug Prediction; Code Metrics; Change Metrics; Gradient Boosting; CatBoost; Classification
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Additional information: 
Zusammenfassung in deutscher Sprache
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License: 
In Copyright
de
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