Attention based GRU-LSTM for software defect prediction

Software defect prediction (SDP) can be used to produce reliable, high-quality software. The current SDP is practiced on program granular components (such as file level, class level, or function level), which cannot accurately predict failures. To solve this problem, we propose a new framework calle...

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Detalles Bibliográficos
Autores principales: Munir, Hafiz Shahbaz, Ren, Shengbing, Mustafa, Mubashar, Siddique, Chaudry Naeem, Qayyum, Shazib
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7932164/
https://www.ncbi.nlm.nih.gov/pubmed/33661985
http://dx.doi.org/10.1371/journal.pone.0247444

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7932164/
https://www.ncbi.nlm.nih.gov/pubmed/33661985
http://dx.doi.org/10.1371/journal.pone.0247444

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