Proceedings of the Widyatama International Conference on Engineering 2024 (WICOENG 2024)

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Empowering Sustainable Software Development with Generative AI

Authors
Murnawan1, *, Muhamad Raihan Al Ghazali1, Viona Azzahra1
1Widyatama University, Bandung, Indonesia
*Corresponding author. Email: murnawan@widyatama.ac.id
Corresponding Author
Murnawan
Available Online 29 December 2024.
DOI
10.2991/978-94-6463-618-5_14How to use a DOI?
Keywords
Generative AI in Software Development; Developer Productivity; Sustainable Development Goals (SDGs)
Abstract

This study investigates the impact of generative AI tools, such as GitHub Copilot and ChatGPT, on software development productivity and developer experience. Through an experiment involving 40 software developers across various tasks—such as code documentation, generation, and refactoring—the research assesses the effectiveness of AI in enhancing task completion rates and developer satisfaction. Results reveal that generative AI reduces task completion time by more than 50% for routine tasks, though it has a more modest effect on high-complexity tasks, with only a 10% reduction in time. Additionally, AI improves the success rate of high-complexity tasks by 28.57%, demonstrating its value in solving complex problems. Developers also reported significant increases in job satisfaction, focus, and entering a “flow” state, indicating a positive influence on well-being. While AI offers notable benefits for routine and moderately complex tasks, further research is required to assess its long-term impacts on more complex software development processes. This study supports the role of generative AI in advancing sustainable software development by fostering innovation, improving efficiency, and promoting developer well-being, aligning with the Sustainable Development Goals (SDG 8 and SDG 9).

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Widyatama International Conference on Engineering 2024 (WICOENG 2024)
Series
Advances in Engineering Research
Publication Date
29 December 2024
ISBN
978-94-6463-618-5
ISSN
2352-5401
DOI
10.2991/978-94-6463-618-5_14How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Murnawan
AU  - Muhamad Raihan Al Ghazali
AU  - Viona Azzahra
PY  - 2024
DA  - 2024/12/29
TI  - Empowering Sustainable Software Development with Generative AI
BT  - Proceedings of the Widyatama International Conference on Engineering 2024 (WICOENG 2024)
PB  - Atlantis Press
SP  - 128
EP  - 138
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-618-5_14
DO  - 10.2991/978-94-6463-618-5_14
ID  - 2024
ER  -