Un enfoque de machine learning para apoyar la identificación de la deuda técnica en arquitectura

Background: The decisions made by architects to favor short-term objectives and potentially to the detriment of long-term software quality are known as Technical Debt in Architecture. This type of technical debt is difficult to identify because it is related to quality attributes that are not visibl...

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Bibliographic Details
Main Authors: Boris Rainiero Pérez-Gutiérrez, Darío Ernesto Correal, Fredy Humberto Vera-Rivera
Format: Article
Language:English
Published: Fundación de Estudios Superiores Comfanorte 2022-01-01
Series:Mundo Fesc
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Online Access:https://www.fesc.edu.co/Revistas/OJS/index.php/mundofesc/article/view/1198
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