对软件项目中的内容进行提取、识别和可视化

2012 Fourth World Congress on Nature and Biologically Inspired Computing (NaBIC) Pub Date : 2012-11-01 DOI:10.1109/NaBIC.2012.6402242

Marek Uhlar, I. Polásek

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引用次数: 3

摘要

提出了一种软件项目中主题的提取、识别和可视化方法。除了标准的信息检索技术外，我们还使用AST和WordNet本体来丰富从解析源代码中提取的文档向量，使用LSI来降低其维数，并使用蜜蜂行为启发算法中的群体智能来聚类其中包含的文档。我们从识别的聚类中提取主题，并将其可视化成三维图形。目标是在分析和重用源代码的过程中为开发参与者提供对软件项目的洞察。

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Extracting, identifiyng and visualisation of the content in software projects

The paper proposes a method for extracting, identifying and visualisation of topics in software projects. In addition to standard information retrieval techniques, we use AST and WordNet ontology to enrich document vectors extracted from parsed source code, LSI to reduce its dimensionality and the swarm intelligence in the bee behaviour inspired algorithms to cluster documents contained in it. We extract topics from the identified clusters and visualise them in 3D graph. The goal is to provide insight into software projects for development participants in the process of analysing and reusing the source code.

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2012 Fourth World Congress on Nature and Biologically Inspired Computing (NaBIC)

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