Best practices for green (sustainable) software development using artificial intelligence

Authors

DOI:

https://doi.org/10.31637/epsir-2024-436

Keywords:

Sustainable Software Engineering, Artificial Intelligence, Software Carbon Footprint, Energy Efficiency, Green Programming Language, Software development methodologies, Green Programming, Green Software

Abstract

Introduction: Today different areas such as software engineering (IS), environment and Artificial Intelligence (AI) converge. IS with AI is based on the transformation of software development, starting the process with the code and including implementation. Methodology: the employee is descriptive type. Information was extracted from scientific databases. After identifying the problem and defining the scope of work, two AI tools were selected for software development, then the performance of the programs was analyzed, evaluating energy efficiency. Results: According to the studies carried out, the Java language is the greenest compared to Python. Discussion: Modern computer programs have many challenges, one of them, they have millions of lines of code (LDC), this aspect can lead to resource consumption and performance difficulties, which is reflected in effectiveness and affects the user experience. Conclusions: It was concluded that creating sustainable and ethical systems, it is essential to project a responsible future, where developers have the power and responsibility to generate appropriate and environmentally friendly applications.

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Author Biography

Ricardo Antonio Botero Rios, Corporación Universitaria Minuto de Dios

Ph.D. in Education with Learning and Knowledge Technologies from the Virtual University of the State of Michoacán, Mexico, a Master's in Free Software from the Autonomous University of Bucaramanga, and a degree in Systems Engineering from San Buenaventura University in Cali. He has been a research professor at the Minuto de Dios University since 2023, where he has led and participated in various projects. Additionally, he has over 24 years of experience as a university professor and more than 20 years of experience as an analyst and developer of information systems. He has also served as a project director and advisor. His areas of interest include information systems, software development, the creation of educational audiovisual content, computerized educational materials, the management of virtual environments, and environmental care/preservation.

References

Anchundia Padilla, A. F., Barzola Ávila, E. S. y Tomala Solórzano, R. A. (2023). Programación verde en el software. Revista UNESUM-Ciencias. https://acortar.link/SmUSJL

Autentia. (2020). Software Design: La guía completa. https://bit.ly/3LdsovE

Bacalla, J. G. (2018, 31 de octubre). La Ingeniería de Sistemas y El Compromiso al Medio Ambiente [actualización de LinkedIn]. https://bit.ly/3LcFclZ

Brito Martínez, C. (2021). Software Libre para uso en Medio Ambiente. https://bit.ly/3W890GF

Castañeda Olvera, D. R. (2022). La nube contaminante. Un análisis socioambiental de la huella de carbono digital. PAAKAT: revista de tecnología y sociedad, 12. https://doi.org/10.32870/PK.A12N22.730 DOI: https://doi.org/10.32870/Pk.a12n22.730

Charniak, E. y Mcdermott, D. (1985). Introduction to Artificial Intelligence. Addison-Wesley.

Erazo Luzuriaga, A. F., Galarza Sánchez, P. C., Ramos Secaira, F. M. y Boné Andrade, M. F. (2023). La inteligencia artificial aplicada a la optimización de programas informáticos. Journal of Economic and Social Science Research. https://bit.ly/3VRNRiA DOI: https://doi.org/10.55813/gaea/jessr/v3/n1/61

García Sandoval, M. G., Ariza Torrado, H. D., Pinzón, M. L. y Flórez Fuentes, A. S. (2015). Buenas prácticas aplicadas a la implementacion colaborativo de aplicativos web. Mundo FESC, 5(10), 27-30. https://www.fesc.edu.co/Revistas/OJS/index.php/mundofesc/article/view/67

Green Software Practitioner. (s.f.). Carbon Awareness. https://bit.ly/3VTmlBh

Green Software Practitioner. (s.f.). Hardware Efficiency. https://bit.ly/3LcPbaR

Haugeland, J. (1985). Artificial intelligence: The very idea. https://bit.ly/3VUxYYC

Hernández González, A. (2018). La sostenibilidad y el software. Revista Dilemas Contemporáneos: Educación, Política y Valores. https://bit.ly/4byUnAF

Ibarra, J. (2023). Reducción de la Huella de Carbono del Software a través de la optimización de compiladores. https://www.researchgate.net/publication/370684524

Iberdrola. (s.f.). ¿Qué es la huella de carbono y por qué es vital reducirla para frenar el cambio climático? https://www.iberdrola.com/sostenibilidad/huella-de-carbono

Ibrahim, M., Danbala, A. y Ismail, M. (2019). Towards attaining reliable and efficient green cloud computing using micro-smart grids to power internet data center center. Journal of Computer and Communications. DOI: https://doi.org/10.4236/jcc.2019.77016

Luger, G. y Stubblefield, W. (1997). Artificial Intelligence: Structures and Strategies for Complex Problem Solving. Addison Wesley.

Microsoft. (s.f.). Principios de la ingeniería de software sostenible. https://bit.ly/3LcVOtS

Monroy Alfaro, C. R. (2022). El lenguaje python y su potencial en el desarrollo de software de inteligencia artificial. Revista Científica de la Universidad Salvadoreña Alberto Masferrer. https://bit.ly/4cNkTr3

Narvaez, L. y Jurado, J. L. (2011). Implantación de Buenas Prácticas a un Proceso de Desarrollo. Journal De Ciencia E Ingeniería, 29-33. https://bit.ly/3WbGNPc

Naumann, S., Dick, M., Kern, E. y Johann, T. (2011). The greensoft model: A reference model for green and sustainable software and its engineering. Sustainable Computing: Informatics and Systems, 294-304. DOI: https://doi.org/10.1016/j.suscom.2011.06.004

Pereira, R., Couto, M. y Ribeiro, F. (2017). Programming Languages: How Do Energy, Time, and Mem-ory Relate. https://doi.org/10.1145/3136014.3136031 DOI: https://doi.org/10.1145/3136014.3136031

Polo, J. D. (2023). Inteligencia Artificial para desarrolladores, recursos que ayudan a programar. https://bit.ly/4cNl5qh

Practitioner, G. S. (s.f.). Carbon Awareness. https://bit.ly/3zz4oR3

Rodríguez, J. (2023). ¿Sabías que realizar 100 búsquedas en Google tiene un gasto energético equivalente al de una bombilla de 60 vatios? iElektro. https://bit.ly/3Le3cFa

Schalkoff, R. J. (1990). Artificial Intelligence: An Engineering Approach. McGraw-Hill.

Soto Duran, D. E., Reyes Gamboa, A. X., Giraldo Mejía, J. C., Villamizar Jaimes, A. y Vidal Alegría, F. A. (2022). Buenas prácticas para el desarrollo de software sostenible. Revista Ibérica de Sistemas e Tecnologias de Informação Iberian Journal of Information Systems and Technologies, 449.

Toppin, A. C. (23 de 3 de 2018). Medium. https://bit.ly/3Wcsp9m DOI: https://doi.org/10.2307/j.ctvscxt08.7

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Published

2024-07-30

How to Cite

Botero Rios, R. A. (2024). Best practices for green (sustainable) software development using artificial intelligence. European Public & Social Innovation Review, 9, 1–21. https://doi.org/10.31637/epsir-2024-436

Issue

Vol. 9 (2024)

Section

INNOVATING IN CUTTING-EDGE TECHNOLOGIES

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Copyright (c) 2024 Ricardo Antonio Botero Rios

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