Empirical Study: How Issue Classification Influences Software Defect Prediction

Empirical Study: How Issue Classification Influences Software Defect Prediction

Software defect prediction aims to identify potentially defective software modules to better allocate limited quality assurance resources. Practitioners often do this by utilizing supervised models trained using historical data. This data is gathered by mining version control and issue tracking syst...

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Bibliographic Details
Main Authors: Petar Afric, Davor Vukadin, Marin Silic, Goran Delac
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Issue tracking
version control systems
natural language processing
issue classification
software defect prediction
RoBERTa
Online Access:https://ieeexplore.ieee.org/document/10035995/

Internet

https://ieeexplore.ieee.org/document/10035995/

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