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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.SE2026

LogiDroid: Individual Functional Test Generation via Business Logic Extraction and Adaptation

Yakun Zhang, Zihan Wang, Xinzhi Peng +6

LogiDroid is a two‑stage system that uses large language model agents to extract structured business logic from requirements and adapt it to a mobile app's GUI, automatically gener…

cs.SE2026

Contextualized Code Pretraining for Code Generation

Chen Liu, Qingyuan Liang, Hanwen Zhang +3

As code generation becomes increasingly central to improving software development efficiency, modern code models are largely trained and evaluated on code with natural-language des…

cs.SE2026

Persistent Cross-Attempt State Optimization for Repository-Level Code Generation

Ruwei Pan, Jiangshuai Wang, Qisheng Zhang +6

Large language models (LLMs) have achieved substantial progress in repository-level code generation. However, solving the same repository-level task often requires multiple attempt…

cs.SE2026

Toward Executable Repository-Level Code Generation via Environment Alignment

Ruwei Pan, Junlei Shen, Linhao Wu +5

Large language models (LLMs) have achieved strong performance on code generation, but existing methods still struggle with repository-level code generation under executable validat…

cs.SE2025

GUI Test Migration via Abstraction and Concretization

Yakun Zhang, Chen Liu, Xiaofei Xie +4

GUI test migration aims to produce test cases with events and assertions to test specific functionalities of a target app. Existing migration approaches typically focus on the widg…