Automated Code Smells Identification in Java Software Systems Using Abstract Syntax Tree Pattern Matching

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DOI https://doi.org/10.55923/aksara.v3i1.5
Putri Firmansyah 1 , Farhan Utami 2
1, 2Research Center for Informatics, National Research and Innovation Agency (BRIN)
1 putri.firmansyah@brin.go.id , 2 farhan.utami@brin.go.id

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Accumulated technical debt directly impairs long-term software maintainability. This study presents a static analysis tool inspecting Abstract Syntax Trees for patterns indicative of God Classes, Feature Envy, and Long Parameter Lists, evaluating accuracy against 50 prominent open-source repositories.
Issue Vol. 3 No. 1 (2024)
Section Articles
Pages 184-196
Published 2024-06-30