Towards Green and Efficient Software Development: An AI-Powered  Approach for Small Software Firms

Madhura G K, Dr.Piyush Kumar Pareek

Towards Green and Efficient Software Development: An AI-Powered Approach for Small Software Firms

Authors

Madhura G K, Dr.Piyush Kumar Pareek

Keywords:

Green-AI; sustainable software engineering; small software firms; CI/CD optimization; MLOps; energy/carbon telemetry; decision support; governance

Abstract

Small software firms (SSFs) face mounting pressure to deliver fast, reliable features whilereducing costs and environmental impact. Yet most sustainability guidance assumes largeenterprise resources, leaving SSFs

References

Anthony, L. F. W., Kanding, B., Selvan, R. “Carbontracker: Tracking and predicting the

carbon footprint of training deep learning models,” 2020.

Lannelongue, L., Grealey, J., Inouye, M. “Green Algorithms: Quantifying the carbon

footprint of computation,” 2021.

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Published

2024-07-19

How to Cite

Madhura G K, Dr.Piyush Kumar Pareek. (2024). Towards Green and Efficient Software Development: An AI-Powered Approach for Small Software Firms . Journal of Computational Analysis and Applications (JoCAAA), 33(06), 2924–2929. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3741