activity
20242026
most citedAn Empirical Study on Code Review Activity Prediction and Its Impact in Practice

5 citations · 5 across the 8 of their papers we have counts for

collaborators

8 papers

cs.SE2026

Trajectory-Aware Benchmark Subset Selection for Cost-Efficient Software Engineering Agent Regression Testing

Mahmoud Ayyad, Zehao Wang, Jiho Shin +2

Autonomous software engineering agents (SWE-agents) automate coding tasks. Each agent update may require re-running the full benchmark to detect regressions and improvements, at a…

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

Code review helps maintain software quality before code integration, but it also imposes a substantial workload on human reviewers. As generative artificial intelligence becomes pa…

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

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.SE2025

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

Suzhen Zhong, Ying Zou, Bram Adams

Large Language Models (LLMs) are increasingly used by developers for conversational coding assistance, including code generation, technical questions, and iterative problem solving…

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…

cs.SE2024★ 5 cited

An Empirical Study on Code Review Activity Prediction and Its Impact in Practice

Doriane Olewicki, Sarra Habchi, Bram Adams

During code reviews, an essential step in software quality assurance, reviewers have the difficult task of understanding and evaluating code changes to validate their quality and p…