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From the 2 of 6 linked papers with an AI index.

collaborators

6 papers

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

REAgent: Requirement-Driven LLM Agents for Software Issue Resolution

Shiqi Kuang, Zhao Tian, Kaiwei Lin +5

Issue resolution aims to automatically generate patches from given issue descriptions and has attracted significant attention with the rapid advancement of large language models (L…

cs.SE2025

A First Look at the Self-Admitted Technical Debt in Test Code: Taxonomy and Detection

Shahidul Islam, Md Nahidul Islam Opu, Shaowei Wang +1

Self-admitted technical debt (SATD) refers to comments in which developers explicitly acknowledge code issues, workarounds, or suboptimal solutions. SATD is known to significantly…

cs.SE2025

LLM-Based Detection of Tangled Code Changes for Higher-Quality Method-Level Bug Datasets

Md Nahidul Islam Opu, Shaowei Wang, Shaiful Chowdhury

Tangled code changes, commits that conflate unrelated modifications such as bug fixes, refactorings, and enhancements, introduce significant noise into bug datasets and adversely a…