Navigating the Complexity of Generative AI Adoption in Software Engineering - RCR Report

This Replicated Computational Results (RCR) report complements the study “Navigating the Complexity of Generative AI Adoption in Software Engineering,” which examines the factors influencing the integration of AI tools in software engineering practices. Employing a mixed-methods approach grounded in the Technology Acceptance Model, Diffusion of Innovation Theory, and Social Cognitive Theory, the study introduces the Human-AI Collaboration and Adaptation Framework (HACAF), validated through PLS-SEM analysis. The replication package detailed herein includes survey instruments, raw data, and analysis scripts essential for reproducing the study’s findings. By providing these artifacts, the RCR report aims to support transparency, enable replication, and encourage further research on effective AI tool adoption strategies in software engineering.