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20232026
most citedChallenging Bug Prediction and Repair Models with Synthetic Bugs

2 citations · 3 across the 9 of their papers we have counts for

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10 papers · 1 filter

cs.SE2026

Unlocking Model Potentials Through Adaptive Multi-Agent Scaffolding for Efficient Issue Resolution

Yang Chen, Aliya Ahmad, Yiheng Zhou +1

Resolving issues with ambiguous and incomplete descriptions, particularly concerning complex bugs, requires a sophisticated, long-horizon workflow. Agents must navigate codebases t…

cs.SE2026

SysTradeBench: An Iterative Build-Test-Patch Benchmark for Strategy-to-Code Trading Systems with Drift-Aware Diagnostics

Yuchen Cao, Hanlin Zhang, Jacky Wai Keung +2

Large language models (LLMs) are increasingly used as quantitative research copilots to translate natural-language strategy specifications into executable trading code. Yet most ex…

cs.SE2026

Narrowing the Complexity Gap in the Evaluation of Large Language Models

Yang Chen, Shuyang Liu, Reyhaneh Jabbarvand

Evaluating Large Language Models (LLMs) with respect to real-world code complexity is essential. Otherwise, there is a risk of overestimating LLMs' programming abilities based on s…

cs.SE2025

Evaluating Code Reasoning Abilities of Large Language Models Under Real-World Settings

Changshu Liu, Alireza Ghazanfari, Yang Chen +1

Code reasoning tasks are becoming prevalent in large language model (LLM) assessments. Yet, there is a dearth of studies on the impact of real-world complexities on code reasoning,…

cs.SE2025★ 1 cited

Process-Centric Analysis of Agentic Software Systems

Shuyang Liu, Yang Chen, Rahul Krishna +3

Agentic systems are modern software systems: they consist of orchestrated modules, expose interfaces, and are deployed in software pipelines. Unlike conventional programs, their ex…

cs.SE2025

Can Old Tests Do New Tricks for Resolving SWE Issues?

Yang Chen, Toufique Ahmed, Reyhaneh Jabbarvand +1

Test suites in real-world projects are often large and achieve high code coverage, yet they remain insufficient for detecting all bugs. The abundance of unresolved issues in open-s…

cs.SE2025

Assessing Coherency and Consistency of Code Execution Reasoning by Large Language Models

Changshu Liu, Yang Chen, Reyhaneh Jabbarvand

This paper proposes CES, a task to evaluate the abilities of LLMs in simulating program execution and using that reasoning in programming tasks. Besides measuring the correctness o…

cs.SE2025

A Preliminary Study of Fixed Flaky Tests in Rust Projects on GitHub

Tom Schroeder, Minh Phan, Yang Chen

Prior research has extensively studied flaky tests in various domains, such as web applications, mobile applications, and other open-source projects in a range of multiple programi…

cs.SE2024

A Generic Approach to Fix Test Flakiness in Real-World Projects

Yang Chen, Reyhaneh Jabbarvand

Test flakiness, a non-deterministic behavior of builds irrelevant to code changes, is a major and continuing impediment to delivering reliable software. The very few techniques for…

cs.SE2023★ 2 cited

Challenging Bug Prediction and Repair Models with Synthetic Bugs

Ali Reza Ibrahimzada, Yang Chen, Ryan Rong +1

Bugs are essential in software engineering; many research studies in the past decades have been proposed to detect, localize, and repair bugs in software systems. Effectiveness eva…