Abstract: Code smells indicate potential design flaws in software systems that can impair maintainability and increase technical debt. While existing approaches have advanced code smell priortization, ...
Abstract: Machine learning has emerged as a promising method for detecting code vulnerabilities. In existing research, models trained on available samples are applied to predict potential ...
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