智能代码搜索帮助边缘软件开发

Fanlong Zhang, Mengcheng Li, Heng Wu, Tao Wu
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引用次数: 0

摘要

多媒体应用的增长对边缘计算软件设施提出了新的挑战。开发人员必须有效地开发边缘计算软件,以适应多媒体应用的快速扩展。为提高边缘软件基础设施的建设效率,代码搜索已成为一种普遍做法。研究人员提出了许多代码搜索方法,并采用深度学习技术从程序表征(如标记、AST、图、方法名和 API)中提取特征。然而,仍存在两个突出问题:1)关于如何有效利用图表示进行代码搜索(尤其是在 Java 语言中)的研究寥寥无几;2)关于不同程序表示的贡献缺乏实证研究。为了解决这些问题,我们开展了一项实证研究来探索程序表示法,尤其是程序图。据我们所知,这是首次尝试使用 Java 语言的混合图表示法(包含控制流图和程序依赖图)进行代码搜索。我们还提出了一种混合方法,用标记图、AST 和混合图(TAMG)来捕捉和融合程序的特征。实验结果表明,我们的方法具有最佳能力(R@1 为 37%,R@10 为 67.1%)。我们的图表示法表现出了积极的效果,标记和 AST 对代码搜索也有显著贡献。我们的研究成果可以帮助开发人员在构建边缘计算软件基础设施时高效搜索所需的代码,这对多媒体应用的快速扩展至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent code search aids edge software development
The growth of multimedia applications poses new challenges to software facilities in edge computing. Developers must effectively develop edge computing software to accommodate the rapid expansion of multimedia applications. Code search has become a prevalent practice to enhance the efficiency of the construction of edge software infrastructure. Researchers have proposed lots of approaches for code search, and employed deep learning technology to extract features from program representations, such as token, AST, graphs, method name, and API. Nevertheless, two prominent issues remain: 1) there are only a few studies on the effective use of graph representation for code search (especially in Java language), and 2) there is a lack of empirical study on the contributions of different program representations. To address these issues, we conduct an empirical study to explore program representations, especially program graphs. To the best of our knowledge, this is the first attempt to conduct code search with mixed graphs representation for Java language, containing the control flow graph and the program dependence graph. We also present a hybrid approach to capture and fuse the features of a program with representations of Token, AST, and Mixed Graphs (TAMG). The results of our experiment show that our approach possesses the best ability (R@1 with 37% and R@10 with 67.1%). Our graph representation exhibits a positive effect, and the token and AST also have a significant contribution to the code search. Our findings can aid developers in efficiently searching for the desired code while constructing the software infrastructure for edge computing, which is crucial for the rapid expansion of multimedia applications.
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