Survey and forum analysis of 683 Android developers finds they manually classify app data for Google's Data Safety Section or skip it, feel confident spotting collected data but not in translating it to the form, and worry about rejection.
author Braun, V
3 Pith papers cite this work. Polarity classification is still indexing.
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A multi-case study plus survey produces seven actionable recommendations for efficient and responsible LLM use in industrial software engineering.
BERTopic and thematic analysis are used on EU AI documents to identify governance themes and track their evolution.
citing papers explorer
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Challenges in Android Data Disclosure: An Empirical Study
Survey and forum analysis of 683 Android developers finds they manually classify app data for Google's Data Safety Section or skip it, feel confident spotting collected data but not in translating it to the form, and worry about rejection.
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Recommendations for Efficient and Responsible LLM Adoption within Industrial Software Development
A multi-case study plus survey produces seven actionable recommendations for efficient and responsible LLM use in industrial software engineering.
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Uncovering AI Governance Themes in EU Policies using BERTopic and Thematic Analysis
BERTopic and thematic analysis are used on EU AI documents to identify governance themes and track their evolution.