Semantic Web Enabled Software Analysis

IF 2.1 3区计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Journal of Web Semantics Pub Date : 2010-07-01 DOI:10.3233/978-1-61499-370-4-109

Jonas Tappolet, Christoph Kiefer, A. Bernstein

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引用次数: 31

Abstract

One of the most important decisions researchers face when analyzing software systems is the choice of a proper data analysis/exchange format. In this paper, we present EvoOnt, a set of software ontologies and data exchange formats based on OWL. EvoOnt models software design, release history information, and bug-tracking meta-data. Since OWL describes the semantics of the data, EvoOnt (1) is easily extendible, (2) can be processed with many existing tools, and (3) allows to derive assertions through its inherent Description Logic reasoning capabilities. The contribution of this paper is that it introduces a novel software evolution ontology that vastly simplifies typical software evolution analysis tasks. In detail, we show the usefulness of EvoOnt by repeating selected software evolution and analysis experiments from the 2004-2007 Mining Software Repositories Workshops (MSR). We demonstrate that if the data used for analysis were available in EvoOnt then the analyses in 75% of the papers at MSR could be reduced to one or at most two simple queries within off-the-shelf SPARQL tools. In addition, we present how the inherent capabilities of the Semantic Web have the potential of enabling new tasks that have not yet been addressed by software evolution researchers, e.g., due to the complexities of the data integration.

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支持语义Web的软件分析

研究人员在分析软件系统时面临的最重要的决策之一是选择适当的数据分析/交换格式。本文提出了一套基于OWL的软件本体和数据交换格式EvoOnt。EvoOnt对软件设计、发布历史信息和bug跟踪元数据进行建模。由于OWL描述了数据的语义，因此EvoOnt(1)易于扩展，(2)可以使用许多现有工具进行处理，(3)允许通过其固有的描述逻辑推理能力派生断言。本文的贡献在于引入了一种新的软件进化本体，极大地简化了典型的软件进化分析任务。详细地说，我们通过重复2004-2007年挖掘软件存储库研讨会(MSR)中选定的软件进化和分析实验来展示EvoOnt的有用性。我们证明，如果用于分析的数据在EvoOnt中可用，那么MSR中75%的论文中的分析可以在现成的SPARQL工具中减少到一个或最多两个简单查询。此外，我们还介绍了语义网的固有功能如何具有实现软件进化研究人员尚未解决的新任务的潜力，例如，由于数据集成的复杂性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Web Semantics 工程技术-计算机：人工智能

CiteScore

6.20

自引率

12.00%

发文量

审稿时长

14.6 weeks

期刊介绍： The Journal of Web Semantics is an interdisciplinary journal based on research and applications of various subject areas that contribute to the development of a knowledge-intensive and intelligent service Web. These areas include: knowledge technologies, ontology, agents, databases and the semantic grid, obviously disciplines like information retrieval, language technology, human-computer interaction and knowledge discovery are of major relevance as well. All aspects of the Semantic Web development are covered. The publication of large-scale experiments and their analysis is also encouraged to clearly illustrate scenarios and methods that introduce semantics into existing Web interfaces, contents and services. The journal emphasizes the publication of papers that combine theories, methods and experiments from different subject areas in order to deliver innovative semantic methods and applications.