coverage diagram

简明释义

可达范围图;覆盖区域图

英英释义

例句

1.The coverage diagram is essential for ensuring that all use cases are covered during testing.

这个覆盖图对于确保在测试期间涵盖所有用例至关重要。

2.The team presented the coverage diagram to illustrate the testing scope for the software.

团队展示了覆盖图以说明软件的测试范围。

3.The coverage diagram helped us identify which areas of the application were not adequately tested.

这个覆盖图帮助我们识别出哪些应用程序区域没有得到充分测试。

4.During the meeting, the project manager referred to the coverage diagram to discuss risk management.

在会议上，项目经理提到覆盖图来讨论风险管理。

5.We need to update the coverage diagram to reflect the new features added in the latest release.

我们需要更新覆盖图以反映最新版本中添加的新功能。

作文

In the realm of data visualization and analysis, the concept of a coverage diagram plays a crucial role in understanding the distribution and accessibility of information across various dimensions. A coverage diagram is essentially a graphical representation that illustrates how different elements or categories are covered by specific variables or parameters. This type of diagram is particularly useful in fields such as telecommunications, computer networks, and even social sciences, where it is important to visualize the extent to which certain factors influence outcomes.For instance, in telecommunications, a coverage diagram can be used to display the coverage area of a mobile network. By plotting the geographical regions served by various cell towers, network engineers can identify areas with weak signals and plan for additional infrastructure to enhance service quality. This visual tool allows stakeholders to make informed decisions about where to allocate resources and improve connectivity.Moreover, in the context of software testing, a coverage diagram can illustrate the extent to which different parts of a codebase are tested. Developers often use this diagram to ensure that all critical paths through their code are evaluated during the testing phase. By analyzing the coverage diagram, teams can pinpoint untested areas, thereby reducing the likelihood of bugs in production environments. This proactive approach not only enhances the reliability of software applications but also boosts overall team productivity.In social sciences, researchers might utilize a coverage diagram to depict the demographics of survey respondents in relation to the population they aim to represent. For example, if a study focuses on urban youth, a coverage diagram could reveal whether the sample includes adequate representation from various socioeconomic backgrounds, ethnicities, and geographic locations. This ensures that the findings of the research are robust and can be generalized to the broader population, thus adding credibility to the conclusions drawn.The construction of a coverage diagram typically involves several steps. First, one must determine the key variables or parameters that will serve as the basis for the diagram. Next, data must be collected and organized in a manner that facilitates easy visualization. Finally, the actual diagram is created using appropriate software tools that allow for the effective presentation of the information.A well-designed coverage diagram not only conveys information clearly but also engages the audience. It should be aesthetically pleasing, with carefully chosen colors and labels that enhance readability. The goal is to create a diagram that not only informs but also encourages viewers to explore the data further.In conclusion, the coverage diagram is an invaluable tool in various fields, enabling professionals to visualize complex data and make informed decisions. Whether used in telecommunications, software development, or social research, the ability to effectively communicate coverage and representation through these diagrams is essential. As we continue to navigate an increasingly data-driven world, the importance of mastering tools like the coverage diagram cannot be overstated. Understanding its application and significance will undoubtedly enhance our analytical capabilities and contribute to better outcomes across disciplines.

在数据可视化和分析领域，coverage diagram 的概念在理解信息在各个维度上的分布和可达性方面发挥着至关重要的作用。coverage diagram 本质上是一个图形表示，展示了不同元素或类别如何被特定变量或参数覆盖。这种类型的图表在电信、计算机网络甚至社会科学等领域特别有用，在这些领域中，视觉化某些因素对结果的影响程度是非常重要的。例如，在电信领域，coverage diagram 可以用来显示移动网络的覆盖区域。通过绘制各种基站服务的地理区域，网络工程师可以识别信号弱的区域，并规划额外的基础设施以提高服务质量。这个视觉工具使利益相关者能够就资源的分配和改善连接性做出明智的决策。此外，在软件测试的背景下，coverage diagram 可以展示代码库中不同部分的测试覆盖程度。开发人员通常使用这个图表来确保在测试阶段评估所有关键路径。通过分析 coverage diagram，团队可以找出未测试的区域，从而降低生产环境中出现错误的可能性。这种主动的方法不仅增强了软件应用的可靠性，还提高了整体团队的生产力。在社会科学中，研究人员可能会利用 coverage diagram 来描绘调查受访者的人口统计数据与他们旨在代表的人口之间的关系。例如，如果一项研究集中于城市青年，coverage diagram 可以揭示样本是否充分代表了来自不同社会经济背景、种族和地理位置的群体。这确保了研究结果的稳健性，并且可以推广到更广泛的人群，从而为得出的结论增加可信度。构建 coverage diagram 通常涉及几个步骤。首先，必须确定将作为图表基础的关键变量或参数。接下来，必须收集和组织数据，以便于可视化。最后，使用适当的软件工具创建实际的图表，以有效呈现信息。一个设计良好的 coverage diagram 不仅清晰传达信息，还能吸引观众。它应该具有美感，颜色和标签的选择应增强可读性。目标是创建一个不仅提供信息，还鼓励观众进一步探索数据的图表。总之，coverage diagram 是各个领域中不可或缺的工具，使专业人员能够可视化复杂数据并做出明智的决策。无论是在电信、软件开发还是社会研究中，有效地通过这些图表传达覆盖和代表性的能力都是至关重要的。随着我们在一个日益数据驱动的世界中继续前行，掌握像 coverage diagram 这样的工具的重要性不容小觑。理解其应用和意义无疑将提升我们的分析能力，并有助于各学科更好的结果。