Paper-Conference

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production
Large Language Models (LLMs) have become increasingly integral to enhancing developer productivity, particularly in code generation, …
Xiaoyun Liang, Jingyi Ren, Jiayi Qi, Chao Peng, Bo Jiang
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SoRFT: Issue Resolving with Subtask-oriented Reinforced Fine-Tuning
Mainstream issue-resolving frameworks predominantly rely on commercial models, leading to high costs and privacy concerns. Existing …
Zexiong Ma, Chao Peng, Pengfei Gao, Xiangxin Meng, Yanzhen Zou, Bing Xie
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Understanding Large Language Model Performance in Software Engineering: A Large-scale Question Answering Benchmark
In this work, we introduce CodeRepoQA, a large-scale benchmark specifically designed for evaluating repository-level question-answering …
Ruida Hu, Chao Peng, Jingyi Ren, Bo Jiang, Xiangxin Meng, Qinyun Wu, Pengfei Gao, Xinchen Wang, Cuiyun Gao
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Prompting Large Language Models to Tackle the Full Software Development Lifecycle: A Case Study
Recent advancements in large language models (LLMs) have significantly enhanced their coding capabilities. However, existing benchmarks …
Bowen Li, Wenhan Wu, Ziwei Tang, Lin Shi, John Yang, Jinyang Li, Shunyu Yao, Chen Qian, Binyuan Hui, Qicheng Zhang, Zhiyin Yu, He Du, Ping Yang, Dahua Lin, Chao Peng, Kai Chen
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Go-Oracle: Automated Test Oracle for Go Concurrency Bugs
The Go programming language has gained significant traction for developing software, especially in various infrastructure systems. …
Foivos Tsimpourlas, Chao Peng, Carlos Rosuero, Ping Yang, Ajitha Rajan
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AEGIS: An Agent-based Framework for General Bug Reproduction from Issue Descriptions
In software maintenance, bug reproduction is essential for effective fault localization and repair. Manually writing reproduction …
Xinchen Wang, Pengfei Gao, Xiangxin Meng, Chao Peng, Ruida Hu, Yun Lin, Cuiyun Gao
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RepoSim: Evaluating Prompt Strategies for Code Completion via User Behavior Simulation
Large language models (LLMs) have revolutionized code completion tasks. IDE plugins such as Copilot can generate code recommendations, …
Chao Peng, Qinyun Wu, Jiangchao Liu, Jierui Liu, Bo Jiang, Mengqian Xu, Yinghao Wang, Xia Liu, Ping Yang
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Neat: Mobile App Layout Similarity Comparison based on Graph Convolutional Networks
A wide variety of device models, screen resolutions and operating systems have emerged with recent advances in mobile devices. As a …
Zhu Tao, Yongqiang Gao, Jiayi Qi, Chao Peng, Qinyun Wu, Xiang Chen, Ping Yang
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Hawkeye: Change-targeted Testing for Android Apps based on Deep Reinforcement Learning
Android Apps are frequently updated to keep up with changing user, hardware, and business demands. Ensuring the correctness of App …
Chao Peng, Zhengwei Lv, Jiarong Fu, Jiayuan Liang, Zhao Zhang, Ajitha Rajan, Ping Yang
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AG3: Automated Game GUI Text Glitch Detection based on Computer Vision
With the advancement of device software and hardware performance, and the evolution of game engines, an increasing number of emerging …
Xiaoyun Liang, Jiayi Qi, Yongqiang Gao, Chao Peng, Ping Yang
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