Quantifying the Impact of AI Integration in Software Development: An Empirical Analysis of Efficiency, Ethics, and Organizational Readiness
Sonia Ayachi Ghannouchi1,*, Zaman Fahad Badday1
1Department of Software, Information Technology, University of Sousse, Tunisia
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Abstract This study empirically examines how artificial intelligence (AI) is changing the online software development ecosystem. Data from 30 types of software professionals in various roles is used to examine opportunities, challenges and ethical considerations, trends in AI-enhanced software development as well technological innovation research methods. Major findings show substantial increases in efficiency of development processes (39.3% decrease in development time) and the quality of the codes (53.3% less flaws/KLOC). However, organizations also face major challenges. For instance, there is a significant skill gap to bridge (severity rating 4.2/5) and expensive implementation costs to put into practice. This study provides a fact-based guide for organizations interested in integrating AI technologies into their software development procedures. The paper also outlines practical inputs that must be made by software practitioners.
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Emails: Sonia.ayachi.ghannouchi@gmail.com; tntz8374@gmail.com
Received: February 25, 2025 Revised: May 31, 2025 Accepted: July 06, 2025
Keywords: Artificial Intelligence; Software Development; Development Efficiency; AI Integration; Software Engineering; DevOps Automation