Identificación de Technical debt (TD) en aplicaciones de software construidas bajo estilos y patrones arquitectónicos, a partir del análisis del código fuente o ejecutable.

Abstract

The purpose of the present titling work is to apply processes and activities for the identification of technical debt in software applications, which in some cases are built following a software architecture, but due to defects in their design and use of standards contain Faults that are then reflected in their coding; These usually accumulate causing their maintenance, performance and robustness to be affected. For this, a prior analysis is made on the technical debt, the causes that lead to it and its influence on the source code and the design of the applications; In addition, tools were identified that allow automating technical debt issues, and methods such as SQALE that support this task. Subsequently, the validation of the tools was performed using the static analysis technique, which takes as input the source code written in different programming languages, to identify the existence in a high, medium or low degree of debt and perform the Corrections necessary for its reduction, facilitating any changes that the applications require.