works on

From the 1 of 6 linked papers with an AI index.

activity
20242026
collaborators

6 papers

cs.SE2026

From Human-Centric to Agentic Code Review: The Impact of Different Generations of Generative AI Technology on Review Quality

Suzhen Zhong, Shayan Noei, Bram Adams +1

The paper empirically examines how the introduction of large language models and AI agents into code review processes affects review speed and quality, analyzing over a million pul…

cs.SE2026

The State of the SBOM Tool Ecosystems: A Comparative Analysis of SPDX and CycloneDX

Zhimin Zhao, Abdul Ali Bangash, Tongxu Ge +3

Software Bills of Materials (SBOMs) improve software release transparency by documenting components and dependencies, but their practical value depends on the tools that generate,…

cs.SE2026

Human-AI Synergy in Agentic Code Review

Suzhen Zhong, Shayan Noei, Ying Zou +1

Code review is a critical software engineering practice where developers review code changes before integration to ensure code quality, detect defects, and improve maintainability.…

cs.SE2025

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality

Suzhen Zhong, Ying Zou, Bram Adams

Large Language Models (LLMs) are becoming integral to modern software development workflows, assisting developers with code generation, API explanation, and iterative problem-solvi…

cs.SE2025

Blended PC Peer Review Model: Process and Reflection

Chakkrit Tantithamthavorn, Nicole Novielli, Ayushi Rastogi +2

The academic peer review system is under increasing pressure due to a growing volume of submissions and a limited pool of available reviewers, resulting in delayed decisions and an…

cs.SE2024

Impact of LLM-based Review Comment Generation in Practice: A Mixed Open-/Closed-source User Study

Doriane Olewicki, Leuson Da Silva, Suhaib Mujahid +6

We conduct a large-scale empirical user study in a live setup to evaluate the acceptance of LLM-generated comments and their impact on the review process. This user study was perfo…