activity
20212026
most citedDeep Learning-based Software Engineering: Progress, Challenges, and Opportunities

89 citations · 156 across the 19 of their papers we have counts for

collaborators
Showing 2024Show all

6 papers · 1 filter

cs.SE2024★ 2 cited

AutoPLC: Generating Vendor-Aware Structured Text for Programmable Logic Controllers

Donghao Yang, Aolang Wu, Tianyi Zhang +6

Among the programming languages for Programmable Logic Controllers (PLCs), Structured Text (ST) is widely adopted for industrial automation due to its expressiveness and flexibilit…

cs.SE2024★ 89 cited

Deep Learning-based Software Engineering: Progress, Challenges, and Opportunities

Xiangping Chen, Xing Hu, Yuan Huang +23

Researchers have recently achieved significant advances in deep learning techniques, which in turn has substantially advanced other research disciplines, such as natural language p…

cs.SE2024

Enhancing Automated Program Repair with Solution Design

Jiuang Zhao, Donghao Yang, Li Zhang +3

Automatic Program Repair (APR) endeavors to autonomously rectify issues within specific projects, which generally encompasses three categories of tasks: bug resolution, new feature…

cs.SE2024★ 2 cited

Uncovering Weaknesses in Neural Code Generation

Xiaoli Lian, Shuaisong Wang, Jieping Ma +5

Code generation, the task of producing source code from prompts, has seen significant advancements with the advent of pre-trained large language models (PLMs). Despite these achiev…

cs.SE2024

A Novel Approach for Automated Design Information Mining from Issue Logs

Jiuang Zhao, Zitian Yang, Li Zhang +2

Software architectures are usually meticulously designed to address multiple quality concerns and support long-term maintenance. However, due to the imbalance between the cost and…

cs.SE2024★ 40 cited

Beyond Functional Correctness: Exploring Hallucinations in LLM-Generated Code

Fang Liu, Yang Liu, Lin Shi +5

The rise of Large Language Models (LLMs) has significantly advanced various applications on software engineering tasks, particularly in code generation. Despite the promising perfo…