{"title":"An Interactive Microarray Call-Graph Visualization","authors":"Michael D. Shah, Samuel Z. Guyer","doi":"10.1109/VISSOFT.2016.14","DOIUrl":null,"url":null,"abstract":"In this paper we present an interactive call-graph visualization tool for viewing large programs. Our space-filling grid-based visualization shows the functions of a programs call-graph. The grid view provides an overview of all of the methods, allowing the user to investigate and view subsets of functions, and finally jump to source code for more details on demand. Our tool assists programmers by reducing large call graphs into smaller subgraphs with function relationships that matter for program comprehension. In our benchmarks, we view and explore code relationships in programs with 18,720 functions at interactive frame rates. We provide two use cases with several findings on investigating profile-guided optimizations in C++ and critical sections in concurrent Java programs. Our software visualization tool is Java based and portable across multiple platforms.","PeriodicalId":122979,"journal":{"name":"2016 IEEE Working Conference on Software Visualization (VISSOFT)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Working Conference on Software Visualization (VISSOFT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VISSOFT.2016.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
In this paper we present an interactive call-graph visualization tool for viewing large programs. Our space-filling grid-based visualization shows the functions of a programs call-graph. The grid view provides an overview of all of the methods, allowing the user to investigate and view subsets of functions, and finally jump to source code for more details on demand. Our tool assists programmers by reducing large call graphs into smaller subgraphs with function relationships that matter for program comprehension. In our benchmarks, we view and explore code relationships in programs with 18,720 functions at interactive frame rates. We provide two use cases with several findings on investigating profile-guided optimizations in C++ and critical sections in concurrent Java programs. Our software visualization tool is Java based and portable across multiple platforms.