2016 IEEE Working Conference on Software Visualization (VISSOFT)最新文献

Metrics Visualization Technique Based on the Origins and Function Layers for OSS-Based Development 基于源层和功能层的oss开发度量可视化技术

2016 IEEE Working Conference on Software Visualization (VISSOFT) Pub Date : 2016-12-09 DOI: 10.1109/VISSOFT.2016.12

Ryosuke Ishizue, H. Washizaki, Y. Fukazawa, S. Inoue, Y. Hanai, Masanobu Kanazawa, Katsushi Namba

引用次数: 7

A Visualization Framework for Parallelization 并行化的可视化框架

2016 IEEE Working Conference on Software Visualization (VISSOFT) Pub Date : 2016-10-01 DOI: 10.1109/VISSOFT.2016.35

Andreas Wilhelm, Victor-Nicolae Savu, Efe Amadasun, M. Gerndt, T. Schüle

引用次数: 7

Interactive Visualizations for Testing Physics Engines in Robotics 机器人物理引擎测试的交互式可视化

2016 IEEE Working Conference on Software Visualization (VISSOFT) Pub Date : 2016-10-01 DOI: 10.1109/VISSOFT.2016.7

J. Fabry, S. Sinclair

引用次数: 5

An Interactive Microarray Call-Graph Visualization 交互式微阵列调用图可视化

2016 IEEE Working Conference on Software Visualization (VISSOFT) Pub Date : 2016-10-01 DOI: 10.1109/VISSOFT.2016.14

Michael D. Shah, Samuel Z. Guyer

引用次数: 8

DAHLIA 2.0: A Visual Analyzer of Database Usage in Dynamic and Heterogeneous Systems DAHLIA 2.0:动态异构系统中数据库使用的可视化分析器

2016 IEEE Working Conference on Software Visualization (VISSOFT) Pub Date : 2016-10-01 DOI: 10.1109/VISSOFT.2016.15

L. Meurice, Anthony Cleve

引用次数: 10

Visualization for Software Product Lines: A Systematic Mapping Study 软件产品线的可视化:系统映射研究

2016 IEEE Working Conference on Software Visualization (VISSOFT) Pub Date : 2016-10-01 DOI: 10.1109/VISSOFT.2016.11

R. Lopez-Herrejon, Sheny Illescas, Alexander Egyed

引用次数: 8

Critical Section Investigator: Building Story Visualizations with Program Traces 关键部分调查员:用程序痕迹构建故事可视化

2016 IEEE Working Conference on Software Visualization (VISSOFT) Pub Date : 2016-10-01 DOI: 10.1109/VISSOFT.2016.13

Michael D. Shah, Samuel Z. Guyer

{"title":"Critical Section Investigator: Building Story Visualizations with Program Traces","authors":"Michael D. Shah, Samuel Z. Guyer","doi":"10.1109/VISSOFT.2016.13","DOIUrl":"https://doi.org/10.1109/VISSOFT.2016.13","url":null,"abstract":"Detecting performance problems that infrequently occur can be very difficult with traditional profilers. Most profilers only show the average time of execution or the total time a method contributes to the overall program's execution time. Most profilers do not explain or show why different control paths within a method executed may have resulted in variable execution times. When debugging concurrent programs for performance problems, the complexity and variability in execution time can potentially be even greater. In this paper we take a first step in visualizing individual method's different execution paths within multithreaded Java programs. We restrict our domain to looking at critical sections for this initial analysis, as variability in critical sections may cause more noticeable performance variation. Our software visualization tool, Critical Section Investigator (CSI), builds on the visualization and interaction techniques in previous works like KCachegrind with several enhancements. The result of our work is the first tool to our knowledge that visually shows potential performance differences in synchronized methods in Java programs using a profiling and storytelling structure.","PeriodicalId":122979,"journal":{"name":"2016 IEEE Working Conference on Software Visualization (VISSOFT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134007989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Perquimans: A Tool for Visualizing Patterns of Spreadsheet Function Combinations 一个可视化电子表格函数组合模式的工具

2016 IEEE Working Conference on Software Visualization (VISSOFT) Pub Date : 2016-10-01 DOI: 10.1109/VISSOFT.2016.27

Justin Middleton, E. Murphy-Hill

引用次数: 5

Visualizing Project Evolution through Abstract Syntax Tree Analysis 通过抽象语法树分析可视化项目演变

2016 IEEE Working Conference on Software Visualization (VISSOFT) Pub Date : 2016-10-01 DOI: 10.1109/VISSOFT.2016.6

Michael D. Feist, E. Santos, Ian Watts, Abram Hindle

{"title":"Visualizing Project Evolution through Abstract Syntax Tree Analysis","authors":"Michael D. Feist, E. Santos, Ian Watts, Abram Hindle","doi":"10.1109/VISSOFT.2016.6","DOIUrl":"https://doi.org/10.1109/VISSOFT.2016.6","url":null,"abstract":"What is a developer's contribution to a repository? By only counting commits and number of lines changed, existing tools that visualize source code repositories (such as GitHub's graphs) fall short on showing the effective contributions made by each developer. When many commits are viewed as a group, the details are lost. Commit information can be misleading since lines of code give no indication of what was actually being worked on without careful examination of the changed code. Providing a semantic view of this information could provide deeper insights into how software projects evolve since changes to design and features are not clearly visible from line changes alone. We present TypeV: a method for visualizing Java source code repositories. Instead of counting line changes in a commit we extract detailed type information over time by using the differences between abstract syntax trees (ASTs). We are then able to track the additions and deletions of declarations and invocations for each type. Furthermore, we can track each author's type usage over time. Using TypeV, we examine specific cases in well-known repositories where our tool reveals interesting and useful information. We then compare type coverage information from the AST compared to file coverage to determine if unique information is provided by type information.","PeriodicalId":122979,"journal":{"name":"2016 IEEE Working Conference on Software Visualization (VISSOFT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122255239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

vizSlice: Visualizing Large Scale Software Slices vizSlice:可视化大规模软件切片

2016 IEEE Working Conference on Software Visualization (VISSOFT) Pub Date : 2016-10-01 DOI: 10.1109/VISSOFT.2016.22

Hakam W. Alomari, Rachel A. Jennings, Paulo Virote de Souza, Matthew Stephan, G. Gannod

{"title":"vizSlice: Visualizing Large Scale Software Slices","authors":"Hakam W. Alomari, Rachel A. Jennings, Paulo Virote de Souza, Matthew Stephan, G. Gannod","doi":"10.1109/VISSOFT.2016.22","DOIUrl":"https://doi.org/10.1109/VISSOFT.2016.22","url":null,"abstract":"Program slicing has long been used to facilitate program understanding. Several approaches have been suggested for computing slices based on different perspectives, including forward slicing, backward slicing, static slicing, and dynamic slicing. The applications of slicing are numerous, including testing, effort estimation, and impact analysis. Surprisingly, given the maturity of slicing, few approaches exist for visualizing slices. In this paper, we present our tool for visualizing large systems based on program slicing and through two visualization idioms: treemaps and bipartite graphs. In particular, we use treemaps to facilitate slicing-based navigation, and we use bipartite graphs to facilitate visual impact analysis by displaying relationships among system decomposition slices showing the relevant computations involving a given slicing variable. We believe our tool will support various software maintenance tasks, including providing analysts an interactive visualization of the impact of potential changes, thus allowing them to plan maintenance accordingly. Finally, we show that, through the use of both existing scalable slicing and scalable visualization approaches, our tool can facilitate analysis of large software systems.","PeriodicalId":122979,"journal":{"name":"2016 IEEE Working Conference on Software Visualization (VISSOFT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121515785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4