Automated Analysis of Source Code Patches using Machine Learning Algorithms

An updated version of a tool for automated analysis of source code patches and branch differences is presented. The upgrade involves the use of machine learning techniques on source code, comments, and messages. It aims to help analysts, code reviewers, or auditors perform repetitive tasks continuou...

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Detalles Bibliográficos
Autores principales: Castro Lechtaler, Antonio, Liporace, Julio César, Cipriano, Marcelo, García, Edith, Maiorano, Ariel, Malvacio, Eduardo, Tapia, Néstor
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2015
Materias:
Ciencias Informáticas
Data mining
Algorithms
text mining
software quality
patch analysis
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/50585
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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