Nasir U. Eisty

Exploring Rust's role in enhancing OS security and reliability.

A look into how machine learning helps identify technical debt in software development.

Study shows how combining models improves software testing accuracy.

A study on security issues faced by Kubernetes users over four years.

A study on the freshness and staleness of Ubuntu packages.

Using LLMs for accurate software project cost and duration estimation.

This study assesses the effectiveness of various LLMs in identifying code vulnerabilities.

Using Large Language Models to improve mobile app user feedback analysis.

Examining how developer feelings affect the quality of machine learning code.

Smaller LLMs offer help but have significant quality issues in code generation.