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P2 Evaluating the effectiveness of LLM-based interoperability

评估基于LLM的互操作性的有效性
ICSE Proceedings of the 2026 IEEE/ACM 48th International Conference on Software Engineering2026匹配度 2/10 · 该论文关注LLM驱动的运行时系统互操作,属于LLM在软件工程/系统集成中的应用评估,而非用户核心方向(静态分析、形式化验证、浮点程序分析、贝叶斯程序分析及其与LLM交叉)。其研究目标也偏向评估LLM能力本身,与用户“不感兴趣”的类型较接近。引用 3 inbox
Rodrigo Falcão, Stefan Schweitzer, Julien Siebert, Emily Calvet, Frank Elberzhager
crossref: 2026-09-12dblp: 2026-09-12arxiv: 2026-09-12

AI 速览

一句话:评估LLM驱动的运行时系统互操作策略,qwen2.5-coder:32b在多数场景有效,单位换算场景需CODEGEN。

针对系统之系统日益动态、异构且互操作构建成本高的问题,本文探索用LLM在运行时自主实现系统互操作。作者选取13个开源LLM,在具体互操作用例上构造四个版本的数据集,采用DIRECT与CODEGEN两种策略,每个模型和数据集版本运行三次,比较效果与一致性。结果显示,qwen2.5-coder:32b在四个版本中的三个上最有效:DIRECT平均pass@1≥0.99,CODEGEN平均pass@1≥0.89;在含单位换算的第四版中,DIRECT全部失败,而CODEGEN下该模型平均pass@1=0.75。结论认为部分LLM可自主实现系统互操作,建议跨领域评估并研究可靠性策略。

问题
系统之系统日益动态和异构,互操作性的构建仍需大量开发时间;本文关注如何利用LLM在运行时无需人工干预地实现系统互操作并评估其有效性。
方法
选取13个开源LLM,在具体互操作用例上整理四个版本的数据集,采用DIRECT和CODEGEN两种策略,每个模型与每个数据集版本运行三次,比较不同模型的效果及结果一致性。
评估
以pass@1衡量模型在两种策略和四个数据集版本上的互操作任务效果,并比较多次运行的一致性;重点报告qwen2.5-coder:32b的表现及单位换算场景的失败情况。
原文摘要(Abstract)

Background: Systems of systems are becoming increasingly dynamic and heterogeneous, and this adds pressure on the long-standing challenge of interoperability. Besides its technical aspect, interoperability has also an economic side, as development time efforts are required to build the interoperability artifacts. Objectives: With the recent advances in the field of large language models (LLMs), we aim at analyzing the effectiveness of LLM-based strategies to make systems interoperate autonomously, at runtime, without human intervention. Method: We selected 13 open source LLMs and curated four versions of a dataset in a concrete interoperability use case. We performed three runs of each model with each version of the dataset, using two different strategies. Then we compared the effectiveness of the models and the consistency of their results across multiple runs. Results: qwen2.5-coder:32b was the most effective model using both strategies DIRECT (average pass@1 ≥ 0.99) and CODEGEN (average pass@1 ≥ 0.89) in three out of four dataset versions. In the fourth dataset version, which included an unit conversion, all models using the strategy DIRECT failed, whereas using CODEGEN qwen2.5-coder:32b succeeded with an average pass@1 = 0.75. Conclusion: Some LLMs can make systems interoperate autonomously. Further evaluation in different domains is recommended, and further research on reliability strategies should be conducted.

链接与引用

DOI 原文 · arXiv · DBLP

BibTeX
@inproceedings{abs-2510-23893,
  title = {Evaluating the effectiveness of LLM-based interoperability},
  author = {Rodrigo Falcão and Stefan Schweitzer and Julien Siebert and Emily Calvet and Frank Elberzhager},
  booktitle = {ICSE},
  year = {2026},
  doi = {10.1145/3744916.3773251}
}