  In this study, we explore advanced strategies for enhancing software quality
by detecting and refactoring data clumps, special types of code smells. Our
approach transcends the capabilities of integrated development environments,
utilizing a novel method that separates the detection of data clumps from the
source access. This method facilitates data clump processing. We introduce a
command-line interface plugin to support this novel method of processing data
clumps. This research highlights the efficacy of modularized algorithms and
advocates their integration into continuous workflows, promising enhanced code
quality and efficient project management across various programming and
integrated development environments.
