Survey of 126 stakeholders yields a prediction model using Naive Bayes, logistic regression, and genetic algorithms to optimize cost-aware LLM integration in software engineering education by balancing familiarity likelihood against implementation costs.
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A comparative survey of older adults, caregivers, and software developers identifies a significant requirements gap in current and desired aged care digital health software features.
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Prediction Model of Motivators and Demotivators of Integrating Large Language Models in Software Engineering Education: An Empirical Study
Survey of 126 stakeholders yields a prediction model using Naive Bayes, logistic regression, and genetic algorithms to optimize cost-aware LLM integration in software engineering education by balancing familiarity likelihood against implementation costs.
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Requirements Perception Gap across Stakeholders: A Comparative Survey of Aged Care Digital Health Software
A comparative survey of older adults, caregivers, and software developers identifies a significant requirements gap in current and desired aged care digital health software features.