The Scalable Detection and Resolution of Data Clumps Using a Modular Pipeline with ChatGPT
This paper explores a modular pipeline architecture that integrates ChatGPT, a Large Language Model (LLM), to automate the detection and refactoring of data clumps—a prevalent type of code smell that complicates software maintainability. Data clumps refer to clusters of code that are often repeated...
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| Main Authors: | Nils Baumgartner, Padma Iyenghar, Timo Schoemaker, Elke Pulvermüller |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
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| Series: | Software |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2674-113X/4/1/3 |
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