A Surrogate-based Approach for Fast Multi-objective Architectural Refactoring Optimization
本文提出一种基于代理模型的方法，利用回归技术近似分析工具输出，以降低计算成本并保持合理精度，从而有效解决复杂软件模型多目标架构优化中的效率问题。
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本文提出一种多维度的健康检查模型，以解决生成式AI在软件系统中应用时的信任问题，通过八个实证维度和四种信任范式来帮助组织建立信任。
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Almost Linear 3-Spanners of Temporal Cliques
本文提出一种递归算法，用于解决时态团中计算近似最小跳数的问题，通过构造几乎线性的3-跨度子图来改进先前的上界。
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XREPOTEST: Benchmarking Multilingual Repository-Level Unit Test Generation for Large Language Models
为解决大语言模型在多语言仓库级别单元测试生成中的实际应用问题，提出XREPOTEST基准，使用多种上下文增强策略评估14种先进模型的性能。
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Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report
This study addresses the challenges developers face when building large language model–based multi-agent systems, particularly in framework selection, agent role design, and coordination mechanisms. From a developer-centric perspective, the work presents the first systematic evaluation of prominent open-source multi-agent frameworks through a mixed-methods approach, combining quantitative analysis of documentation and functional capabilities with a qualitative README summarization task experiment evaluated using ROUGE metrics. The authors propose an integrated assessment framework encompassing functional coverage, documentation quality, and practical efficacy. Findings reveal that while existing frameworks support core components, they generally lack advanced features—such as agent telemetry—and exhibit no statistically significant performance differences in the summarization task. The study provides practitioners with an evidence-based framework selection guide, a checklist of key development challenges, and empirical insights to inform real-world deployment decisions.
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A Surrogate-based Approach for Fast Multi-objective Architectural Refactoring Optimization
本文提出一种基于代理模型的方法，利用回归技术近似分析工具输出，以降低计算成本并保持合理精度，从而有效解决复杂软件模型多目标架构优化中的效率问题。
0 citationsRead paper
Generative AI for trustworthy systems - Towards a health check model
本文提出一种多维度的健康检查模型，以解决生成式AI在软件系统中应用时的信任问题，通过八个实证维度和四种信任范式来帮助组织建立信任。
0 citationsRead paper
Almost Linear 3-Spanners of Temporal Cliques
本文提出一种递归算法，用于解决时态团中计算近似最小跳数的问题，通过构造几乎线性的3-跨度子图来改进先前的上界。
0 citationsRead paper
XREPOTEST: Benchmarking Multilingual Repository-Level Unit Test Generation for Large Language Models
为解决大语言模型在多语言仓库级别单元测试生成中的实际应用问题，提出XREPOTEST基准，使用多种上下文增强策略评估14种先进模型的性能。
0 citationsRead paper
Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report
This study addresses the challenges developers face when building large language model–based multi-agent systems, particularly in framework selection, agent role design, and coordination mechanisms. From a developer-centric perspective, the work presents the first systematic evaluation of prominent open-source multi-agent frameworks through a mixed-methods approach, combining quantitative analysis of documentation and functional capabilities with a qualitative README summarization task experiment evaluated using ROUGE metrics. The authors propose an integrated assessment framework encompassing functional coverage, documentation quality, and practical efficacy. Findings reveal that while existing frameworks support core components, they generally lack advanced features—such as agent telemetry—and exhibit no statistically significant performance differences in the summarization task. The study provides practitioners with an evidence-based framework selection guide, a checklist of key development challenges, and empirical insights to inform real-world deployment decisions.
0 citationsRead paper