{"title":"SCuV: a novel software clustering and visualization tool","authors":"Xiaomin Xu, Sheng Huang, Yanghua Xiao, Wei Wang","doi":"10.1145/2384716.2384731","DOIUrl":null,"url":null,"abstract":"Decomposing a software system into smaller, more manageable clusters provides an insight for better comprehension of large systems for software engineers. However, invocation-awareness and dynamic view are two features which are not supported by existed software clustering visualization tools. In this paper, we presents a novel tool, named SCuV, to partition the Software into invocation-aware clusters, Cluster them with nested containment & invocation hierarchy and Visualize the clustering result in granularity-adjustable way.","PeriodicalId":194590,"journal":{"name":"ACM SIGPLAN International Conference on Systems, Programming, Languages and Applications: Software for Humanity","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGPLAN International Conference on Systems, Programming, Languages and Applications: Software for Humanity","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2384716.2384731","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Decomposing a software system into smaller, more manageable clusters provides an insight for better comprehension of large systems for software engineers. However, invocation-awareness and dynamic view are two features which are not supported by existed software clustering visualization tools. In this paper, we presents a novel tool, named SCuV, to partition the Software into invocation-aware clusters, Cluster them with nested containment & invocation hierarchy and Visualize the clustering result in granularity-adjustable way.
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