First study of 1,899 MCP servers finds eight distinct vulnerabilities (only three traditional), 7.2% with general issues, 5.5% with tool poisoning, and 66% with code smells, urging MCP-specific security practices.
Rethinking software engineering in the foundation model era: From task-driven ai copilots to goal-driven ai pair programmers
3 Pith papers cite this work. Polarity classification is still indexing.
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DAT is a telemetry-based time metric for developer productivity, validated via observational studies and applied in three Meta case studies showing 14%, 33%, and >50% improvements.
LicenseGPT fine-tuned on 500 expert-annotated licenses raises prediction agreement to 64.30% and cuts per-license analysis time by 94.44% from 108s to 6s in lawyer user studies.
citing papers explorer
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Model Context Protocol (MCP) at First Glance: Studying the Security and Maintainability of MCP Servers
First study of 1,899 MCP servers finds eight distinct vulnerabilities (only three traditional), 7.2% with general issues, 5.5% with tool poisoning, and 66% with code smells, urging MCP-specific security practices.
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What's DAT? Three Case Studies of Measuring Software Development Productivity at Meta With Diff Authoring Time
DAT is a telemetry-based time metric for developer productivity, validated via observational studies and applied in three Meta case studies showing 14%, 33%, and >50% improvements.
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LicenseGPT: A Fine-tuned Foundation Model for Publicly Available Dataset License Compliance
LicenseGPT fine-tuned on 500 expert-annotated licenses raises prediction agreement to 64.30% and cuts per-license analysis time by 94.44% from 108s to 6s in lawyer user studies.