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相关概念视频

Interpreting Run Charts01:25

Interpreting Run Charts

105
Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
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Run Charts01:12

Run Charts

63
Run charts serve as an essential instrument for visualizing the performance of various processes over time, enabling the identification of trends and patterns crucial for quality improvement. These charts map out a series of data points chronologically, offering insights into the stability and efficiency of a process. A run chart's creation involves plotting data points on a graph, with the time intervals on the horizontal axis and the specific measurements on the vertical axis. For...
63
Methods of Documentation IV: Focus Charting01:26

Methods of Documentation IV: Focus Charting

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Focus Charting, also known as the focus charting system or "focus documentation," is a systematic documentation approach used in healthcare to organize patient information in medical records.
It typically involves three columns for recording information:
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Interpreting R Charts01:22

Interpreting R Charts

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R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
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Multiple Bar Graph01:07

Multiple Bar Graph

5.2K
As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
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The R Chart01:02

The R Chart

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In statistical process control, control charts, particularly R charts, are instrumental in monitoring process variations and identifying non-random patterns that run charts might miss. R charts track the variability within process subgroups, which is crucial when standard deviation use is impractical or unknown process variations exist.
R charts are pivotal for pinpointing shifts in process variability. Stability is indicated when all data points remain within the defined upper and lower...
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相关实验视频

Updated: Jul 11, 2025

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
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使用雷达图表可视化软件重构使用雷达图表.

Abdel-Rahman Al-Ghuwairi1, Dimah Al-Fraihat2, Yousef Sharrab3

  • 1Department of Software Engineering, Faculty of Prince Al-Hussien Bin Abdallah II for Information Technology, The Hashemite University, Zarqa, Jordan.

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|November 9, 2023
PubMed
概括

本研究介绍了雷达图表重构可视化 (RcRV),这是一个可视化软件重构的新方法. RcRV帮助开发人员分析多个版本的复杂代码更改,提高维护能力和检测错误.

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相关实验视频

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科学领域:

  • 软件工程 软件工程 软件工程
  • 计算机科学 计算机科学
  • 信息可视化 信息可视化

背景情况:

  • 重构工具在大型软件项目中被广泛使用,产生了关于代码更改的大量数据.
  • 分析多个同时重构操作对源代码复杂性的影响是具有挑战性的.
  • 现有的软件可视化研究仅限于对重构过程本身的可视化.

研究的目的:

  • 提出一种新的可视化方法,雷达图表重构可视化 (RcRV),用于分析跨多个版本的软件重构.
  • 解决了解多重重构操作对源代码演变的影响的挑战.
  • 为开发人员提供一个工具,以提高代码的可维护性和质量评估.

主要方法:

  • 开发了雷达图表重构可视化 (RcRV) 方法.
  • 利用雷达图表,一种2D可视化技术,能够同时显示多个变量.
  • 开发人员的集成输入和重构识别工具,如Ref-Finder,以生成可视化.
  • 在多个版本,方法和类中可视化重构的趋势.

主要成果:

  • RcRV 工具有效地可视化了跨多个软件版本的软件重构.
  • 生成的图表突出显示了对多个重构实例,方法和类的重构趋势.
  • 一项评估研究证实了该工具对开发人员的有用性,吸引力和易用性.
  • 可视化方法有助于检测设计违规和潜在的错误.

结论:

  • 拟议的RcRV方法通过增强重构过程的可视化,为软件工程做出了重大贡献.
  • 该工具使开发人员和维护人员能够提高代码质量和可维护性.
  • RcRV有助于有效检测设计缺陷和错误,节省开发和维护时间.