Challenges of Processing Data Clumps within Plugin Architectures of Integrated Development Environment
Year: 2024
Type: preprint
Abstract: 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.
Source: arXiv (Cornell University)
Authors: Baumgartner, Nils, Pulvermüller, Elke
Institution: Osnabrück University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4392576590