Analysing and Transforming Graph Structures: The Graph Transformation Framework

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING IET Software Pub Date : 2023-04-06 DOI:10.3390/software2020010
Andreas Schuler, Christoph Praschl, A. Pointner
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引用次数: 1

Abstract

Interconnected data or, in particular, graph structures are a valuable source of information. Gaining insights and knowledge from graph structures is applied throughout a wide range of application areas, for which efficient tools are desired. In this work we present an open source Java graph transformation framework. The framework provides a simple fluent Application Programming Interface (API) to transform a provided graph structure to a desired target format and, in turn, allow further analysis. First, we provide an overview on the architecture of the framework and its core components. Second, we provide an illustrative example which shows how to use the framework’s core API for transforming and verifying graph structures. Next to that, we present an instantiation of the framework in the context of analyzing the third-party dependencies amongst open source libraries on the Android platform. The example scenario provides insights on a typical scenario in which the graph transformation framework is applied to efficiently process complex graph structures. The framework is open-source and actively developed, and we further provide information on how to obtain it from its official GitHub page.
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图结构的分析与转换:图转换框架
相互关联的数据,特别是图形结构是有价值的信息来源。从图结构中获得洞察力和知识应用于广泛的应用领域,因此需要高效的工具。在这项工作中,我们提出了一个开源的Java图形转换框架。该框架提供了一个简单流畅的应用程序编程接口(API),用于将提供的图形结构转换为所需的目标格式,从而允许进一步分析。首先,我们概述了框架的体系结构及其核心组件。其次,我们提供了一个说明性的例子,展示了如何使用框架的核心API来转换和验证图结构。接下来,我们在分析Android平台上开源库之间的第三方依赖关系的背景下给出了该框架的实例化。示例场景提供了对典型场景的见解,其中图形转换框架被应用于有效地处理复杂的图形结构。该框架是开源和积极开发的,我们进一步提供了如何从其官方GitHub页面获取它的信息。
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
IET Software
IET Software 工程技术-计算机:软件工程
CiteScore
4.20
自引率
0.00%
发文量
27
审稿时长
9 months
期刊介绍: IET Software publishes papers on all aspects of the software lifecycle, including design, development, implementation and maintenance. The focus of the journal is on the methods used to develop and maintain software, and their practical application. Authors are especially encouraged to submit papers on the following topics, although papers on all aspects of software engineering are welcome: Software and systems requirements engineering Formal methods, design methods, practice and experience Software architecture, aspect and object orientation, reuse and re-engineering Testing, verification and validation techniques Software dependability and measurement Human systems engineering and human-computer interaction Knowledge engineering; expert and knowledge-based systems, intelligent agents Information systems engineering Application of software engineering in industry and commerce Software engineering technology transfer Management of software development Theoretical aspects of software development Machine learning Big data and big code Cloud computing Current Special Issue. Call for papers: Knowledge Discovery for Software Development - https://digital-library.theiet.org/files/IET_SEN_CFP_KDSD.pdf Big Data Analytics for Sustainable Software Development - https://digital-library.theiet.org/files/IET_SEN_CFP_BDASSD.pdf
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