An in-Depth Analysis of the Software Features’ Impact on the Performance of Deep Learning-Based Software Defect Predictors

An in-Depth Analysis of the Software Features’ Impact on the Performance of Deep Learning-Based Software Defect Predictors

<italic>Software Defects</italic> Prediction represents an essential activity during software development that contributes to continuously improving <italic>software quality</italic> and software maintenance and evolution by detecting defect-prone modules in new versions of a...

Full description

Bibliographic Details
Main Authors: Diana-Lucia Miholca, Vlad-Ioan Tomescu, Gabriela Czibula
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Deep learning
Doc2vec
latent semantic indexing
software defect prediction
Online Access:https://ieeexplore.ieee.org/document/9793667/

Internet

https://ieeexplore.ieee.org/document/9793667/

Similar Items