The Impact of Generative AI on Modern Software Development: Revolutionizing the Development Lifecycle
DOI:
https://doi.org/10.32628/CSEIT251112219Keywords:
Artificial Intelligence, Development Automation, Ethical Considerations, Software Engineering, Workforce EvolutionAbstract
This comprehensive article explores the transformative impact of Generative Artificial Intelligence (GenAI) on software development practices. The article examines how GenAI is revolutionizing various aspects of the development lifecycle, from code generation and testing to team collaboration and ethical considerations. The article analyzes the emergence of AI-powered development tools, their impact on workflow automation, and the democratization of software development. It also addresses the challenges and implications for workforce evolution, emphasizing the importance of ethical considerations in AI implementation. Through this article current trends and future projections, the article provides insights into how organizations can effectively integrate GenAI while maintaining high standards of quality and ethical responsibility in software development.
Downloads
References
Mariana Coutinho, et al., "The Role of Generative AI in Software Development Productivity: A Pilot Case Study," arXiv preprint arXiv:2406.00560, 2024. [Online]. Available: https://arxiv.org/html/2406.00560v1
Sotiris Kotsiantis, et al., "AI-Assisted Programming Tasks Using Code Embeddings and Transformers," Electronics 2024, 13(4), 767. [Online]. Available: https://www.mdpi.com/2079-9292/13/4/767
Sida Peng, et al., "The Impact of AI on Developer Productivity: Evidence from GitHub Copilot," arXiv preprint arXiv:2302.06590, 2023. [Online]. Available: https://arxiv.org/pdf/2302.06590
Konstantinos Vandikas, et al., "Ensuring Energy-Efficient Networks With Artificial Intelligence," Energy-Efficient Networks, 2021. [Online]. Available: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9904669
Chunhua Deming, et al., "Software Testing in the Era of AI: Leveraging Machine Learning and Automation for Efficient Quality Assurance," Asian Journal of Applied Science and Engineering 10(1):66–76, 2021. [Online]. Available: https://www.researchgate.net/publication/380318286_Software_Testing_in_the_Era_of_AI_Leveraging_Machine_Learning_and_Automation_for_Efficient_Quality_Assurance
Celia Dolores Benitez, et al., "The Integration and Impact of Artificial Intelligence in Software Engineering," International Journal of Advanced Research in Science Communication and Technology 3(2):279-293, 2023. [Online]. Available: https://www.researchgate.net/publication/383455349_The_Integration_and_Impact_of_Artificial_Intelligence_in_Software_Engineering
Adam Sharif, et al., "The impact of AI on employment and jobs: A comprehensive analysis," 10th London International Conference, November 15-17, 2023. [Online]. Available: https://www.researchgate.net/publication/377347810_The_impact_of_AI_on_employment_and_jobs_A_comprehensive_analysis
Patricia de Oliveira Santos, et al., "Impacts of the Usage of Generative Artificial Intelligence on Software Development Process," Proceedings of the 20th Brazilian Symposium on Information Systems, 2024. [Online]. Available: https://dl.acm.org/doi/10.1145/3658271.3658337
Mousa Al-kfairy, et al., "A Systematic Review and Analysis of Ethical Challenges of Generative Ai: An Interdisciplinary Perspective," SSRN Electronic Journal, 2024. [Online]. Available: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4833030
Andrea Vianello, et al., "Improving Trustworthiness of AI Solutions: A Qualitative Approach to Support Ethically-Grounded AI Design," International Journal of Human–Computer Interaction , Volume 39, 2022. [Online]. Available: https://www.tandfonline.com/doi/full/10.1080/10447318.2022.2095478
Srinivasulu Gunukula, "The Future Of Cloud Computing: Key Trends And Predictions For The Next Decade," International Journal of Research In Computer Applications and Information Technology (IJRCAIT) Volume 7, Issue 2, July-December 2024. [Online]. Available: https://iaeme.com/MasterAdmin/Journal_uploads/IJRCAIT/VOLUME_7_ISSUE_2/IJRCAIT_07_02_041.pdf
Sukhpal Singh Gill, et al., "AI for next generation computing: Emerging trends and future directions," Internet of Things, Volume 19, August 2022, 100514. [Online]. Available: https://www.sciencedirect.com/science/article/abs/pii/S254266052200018X
Downloads
Published
Issue
Section
License
Copyright (c) 2025 International Journal of Scientific Research in Computer Science, Engineering and Information Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.