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Review Sep 2026

Using Agentic AI for contextualized and multifaceted code review at Ericsson

Context: Conducting effective code reviews is increasingly challenging due to the growing complexity of software systems and the accelerated code generation by AI coding agents. LLM-based approaches for code reviews have shown promising results in identifying defects and improving code quality. However, existing approa...

M. Laiq, Ricardo Britto, Muhammad Usman et al. · 0 citations
Jul 2026

A comparative analysis of automated techniques for security bug report identification

A comparative analysis of several promising automated techniques to identify security-related bug reports using benchmark datasets indicates that SetFit achieves the best overall performance, and cross-project experiments demonstrate that transfer learning can improve performance for projects with limited data, but may...

M. Laiq · 0 citations

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