Abstract

This paper investigates how generative artificial intelligence (GenAI) tools affect software development from the perspective of 62 software professionals. Using a mixed-methods approach, the study combines survey-based quantitative data with thematic analysis of open-ended responses. Results show that experienced GenAI users report enhanced efficiency and creativity, but also raise concerns about code quality, overreliance, and increased expectations. Younger and less experienced developers feel more job insecurity. Organizational support appears to have limited influence on perceived pressure. The paper offers practical recommendations for the adaptive integration of GenAI tools and highlights directions for future research.

Recommended Citation

Pawełoszek, I. (2025). Benefits and Challenges of Generative AI in Software Development: A Survey-Based StudyIn I. Luković, S. Bjeladinović, B. Delibašić, D. Barać, N. Iivari, E. Insfran, M. Lang, H. Linger, & C. Schneider (Eds.), Empowering the Interdisciplinary Role of ISD in Addressing Contemporary Issues in Digital Transformation: How Data Science and Generative AI Contributes to ISD (ISD2025 Proceedings). Belgrade, Serbia: University of Gdańsk, Department of Business Informatics & University of Belgrade, Faculty of Organizational Sciences. ISBN: 978-83-972632-1-5. https://doi.org/10.62036/ISD.2025.4

Paper Type

Short Paper

DOI

10.62036/ISD.2025.4

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Benefits and Challenges of Generative AI in Software Development: A Survey-Based Study

This paper investigates how generative artificial intelligence (GenAI) tools affect software development from the perspective of 62 software professionals. Using a mixed-methods approach, the study combines survey-based quantitative data with thematic analysis of open-ended responses. Results show that experienced GenAI users report enhanced efficiency and creativity, but also raise concerns about code quality, overreliance, and increased expectations. Younger and less experienced developers feel more job insecurity. Organizational support appears to have limited influence on perceived pressure. The paper offers practical recommendations for the adaptive integration of GenAI tools and highlights directions for future research.