Resumen

VELASCO-ELIZONDO, Perla; CASTANEDA-CALVILLO, Lucero; GARCIA-FERNANDEZ, Alejandro  y  VAZQUEZ-REYES, Sodel. Characterization and Automatic Detection of Bad Smells MVC. RISTI [online]. 2018, n.26, pp.54-67. ISSN 1646-9895.  https://doi.org/10.17013/risti.26.54-67.

Bad smells are a frequent cause of technical debt, which denotes  the cost of adopting a quick and dirty design or development approach. There are works on characterizing bad smells as well as on detecting and fixing them automatically. However, few of these works characterize, detect and fix architectural bad smells. The work presented in this article represents an initial effort to fill this by contributing to: (i) the characterization of bad smells tha are relevant to the MVC architecture style, and (ii) the automatic detection of these using static analysis of software techniques. The obtained results show that most of the defined bad smells exist in practice and that the proposed detection method reduces by a wide margin the detection time required by a code review

Palabras clave : Software Architecture; Bad Bad smells; Static Analysis; MVC; Yii.

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