Comparative review of AI coding tool ToS shows responsibility for code quality and compliance shifted to users, with policy misalignment for autonomous agents, plus a research roadmap.
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Empirical evaluation shows that code generated by all seven tested LLMs contains vulnerabilities, the majority of critical or high severity.
Linking team bonuses to automated security scan results reduced issue density in a controlled experiment with 84 students across 14 teams.
citing papers explorer
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Accountable Agents in Software Engineering: An Analysis of Terms of Service and a Research Roadmap
Comparative review of AI coding tool ToS shows responsibility for code quality and compliance shifted to users, with policy misalignment for autonomous agents, plus a research roadmap.
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Security of LLM-generated Code: A Comparative Analysis
Empirical evaluation shows that code generated by all seven tested LLMs contains vulnerabilities, the majority of critical or high severity.
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Security Incentivization: An Empirical Study of how Micropayments Impact Code Security
Linking team bonuses to automated security scan results reduced issue density in a controlled experiment with 84 students across 14 teams.