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Analysis Study Research Paper | Computers & Electrical Engineering | India | Volume 12 Issue 6, June 2023 | Popularity: 4.6 / 10
SageMinder: AI-Driven Technical Debt Reduction in AWS-Based Data Science Pipelines
Sai Tarun Kaniganti
Abstract: This paper focuses on the difficulty of managing technical debt in large-scale software projects that use AI and Machine Learning for identification and resolution. The approach consists of systematic surveillance of technical debts, gradualistic refinancing techniques, emphasis on sustaining high-quality standards, and automatic tools for detecting technical debt. When implemented in the development lifecycle, such strategies will improve the software projects' stability and sustainability in the long run.
Keywords: Technical Debt, Artificial Intelligence, Machine Learning, Amazon Web Service, Software Engineering, Debt, Code Quality, DevOps, Data Science, Cloud Computing
Edition: Volume 12 Issue 6, June 2023
Pages: 2988 - 2996
DOI: https://www.doi.org/10.21275/SR24806050008
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