works on

From the 3 of 16 linked papers with an AI index.

collaborators

16 papers

cs.SE2026

DCAS: Decoupling CLI Agent Scaffolding to Internalize Planning across Scaffolds

Kishanthan Thangarajah, Boyuan Chen, Ahmed E. Hassan

CLI-based software-engineering agents have matured rapidly, yet the open ecosystem has converged on a single training environment: trajectory datasets used to fine-tune open models…

cs.SE2026

SWE-NFI: Studying and Benchmarking Coding Agents for Non-Functional Improvements

Pengyu Xue, He Yang Yuan, Xin Wang +6

The paper introduces SWE-NFI, a benchmark that assesses how coding agents can make non-functional, behavior-preserving improvements to Python code, using real pull‑request tasks an…

cs.SE2026

SpecFirst: Behavioral Specification Elicitation as a First-Class Step in Agent-Based Program Synthesis from Scratch

Yihao Chen, Shi Chang, Feng Lin +4

The paper introduces SpecFirst, a two-stage framework that first elicits a behavioral specification from an execute-only binary and documentation before synthesizing code, improvin…

cs.SE2026

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis

Yihao Chen, Shi Chang, Khaled Chawa +4

MindForge automatically turns open‑source command‑line programs into source‑free environments that expose only compiled executables and documentation, enabling the training of smal…

cs.SE2026

Beyond Correctness: Enhancing Architectural Reasoning in Code LLMs via Scalable Labeling with Agentic Judgment

Kirill Vasilevski, Ximing Dong, Benjamin Rombaut +8

LLMs have substantially improved software engineering yet real-world development requires architectural understanding. Such understanding is prohibitively expensive to label manual…

cs.SE2026

SynConfRoute: Syntax-Aware Routing for Efficient Code Completion with Small CodeLLMs

Kishanthan Thangarajah, Boyuan Chen, Ahmed E. Hassan

Enterprises want AI code completion that is both high-quality and private, but they face a tension: proprietary models yield better results yet risk exposing proprietary code, whil…