A scoping review and empirical analysis produce a six-category taxonomy of factors driving AI non-development and abandonment, showing that practical issues like resource limits and organizational dynamics often outweigh ethical concerns in real decisions.
Navigating the Complexity of Generative AI Adoption in Software Engineering
8 Pith papers cite this work, alongside 142 external citations. Polarity classification is still indexing.
8
Pith papers citing it
142
external citations · Crossref
citation-role summary
background 3
citation-polarity summary
years
2026 8verdicts
UNVERDICTED 8roles
background 3polarities
background 3representative citing papers
Mixed-methods study of 27 developers characterizes five Copilot chat interaction modes and ten needs linked to problem-solving styles and experience levels.
Mixed-methods study adapting UTAUT2 shows individual-level perceptions predict continued GenAI use in Italian SME developers (R²=0.647) while social and organisational factors do not.
Preference-based prompting raises LLM adherence to object-oriented design principles in UML generation but leaves substantial output variance and model-specific differences intact.
Organizational policies constrain agency in AI-mediated software engineering more than individual preferences, with seniors using detailed delegation and pre-AI instincts while juniors oscillate between over-reliance and avoidance.
UTAUT is suitable for studying individual barriers to GenAI use in software engineering when combined with Bayesian analysis, with three priorities for future research on construct refinement, operationalization, and statistical methods.
Empirical tests show open-source LLM agents underperform the Bandit SAST tool and are not ready to replace it for security scanning.
The paper describes ongoing efforts to characterize developer diversity in cognition and context and to use personalization to make LLM-based conversational programming assistants more inclusive.
citing papers explorer
-
Can Open-Source LLM Agents Replace Static Application Security Testing Tools? An Empirical Assessment
Empirical tests show open-source LLM agents underperform the Bandit SAST tool and are not ready to replace it for security scanning.