2026-05-30T10:55:45Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/237382026-02-03T11:32:52Zcom_10630_2254col_10630_37953
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Saborido Infantes, Rubén
author
Ferrer-Urbano, Francisco Javier
author
Chicano-García, José-Francisco
author
Alba-Torres, Enrique
2022-02-04T20:40:07Z
2022-02-04T20:40:07Z
2022-01-20
R. Saborido, J. Ferrer, F. Chicano and E. Alba, "Automatizing Software Cognitive Complexity Reduction," in IEEE Access, vol. 10, pp. 11642-11656, 2022, doi: 10.1109/ACCESS.2022.3144743.
2169-3536
https://hdl.handle.net/10630/23738
10.1109/ACCESS.2022.3144743
We model the cognitive complexity reduction of a method as an optimization problem where the search space contains all sequences of Extract Method refactoring opportunities. We then propose a novel approach that searches for feasible code extractions allowing developers to apply them, all in an automated way. This will allow software developers to make informed decisions while reducing the complexity of their code. We evaluated our approach over 10 open-source software projects and was able to fix 78% of the 1,050 existing cognitive complexity issues reported by SonarQube. We finally discuss the limitations of the proposed approach and provide interesting findings and guidelines for developers.
eng
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Ingeniería del software
Automatizing Software Cognitive Complexity Reduction
journal article
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URL
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File
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b72a734d0937776dc0552b92e5d30554
1822166
application/pdf
Automatizing_Software_Cognitive_Complexity_Reduction.pdf