run time statistics

简明释义

运行时间统计

英英释义

例句

1.The run time statistics showed that the database queries were taking longer than expected.

该运行时统计信息显示数据库查询的时间超出了预期。

2.By reviewing the run time statistics, the team was able to reduce the application's load time significantly.

通过查看运行时统计信息，团队能够显著减少应用程序的加载时间。

3.To optimize the application, we need to analyze the run time statistics collected during testing.

为了优化应用程序，我们需要分析测试期间收集的运行时统计信息。

4.The dashboard displays run time statistics such as memory usage and CPU load.

仪表板显示了如内存使用和CPU负载等运行时统计信息。

5.The software provides detailed run time statistics to help developers identify performance bottlenecks.

该软件提供详细的运行时统计信息，帮助开发者识别性能瓶颈。

作文

In the world of computer programming and software development, performance optimization is a crucial aspect that developers must focus on. One of the key tools in this endeavor is the analysis of run time statistics, which provide valuable insights into how a program operates during its execution. Understanding these statistics can significantly enhance the efficiency and effectiveness of software applications.When we talk about run time statistics, we refer to the various metrics collected while a program is running. These metrics can include information such as execution time, memory usage, CPU utilization, and the frequency of function calls. By gathering this data, developers can identify bottlenecks and areas where the program may be underperforming. For instance, if a particular function takes an unusually long time to execute, it may indicate that the algorithm used needs to be optimized or that there is a need for more efficient data structures.Moreover, run time statistics can help in comparing different algorithms or implementations of a function. When faced with multiple solutions to a problem, developers can run tests to gather run time statistics for each approach. This empirical evidence allows them to make informed decisions about which solution is the most efficient under specific conditions. In this way, run time statistics serve as a guiding light in the decision-making process, steering developers toward the best possible choices.Another important aspect of run time statistics is their role in debugging and error detection. When a program exhibits unexpected behavior, analyzing the run time statistics can reveal patterns or anomalies that may point to the source of the issue. For example, if memory usage spikes unexpectedly, it could indicate a memory leak or inefficient resource management. By understanding the run time statistics, developers can pinpoint problems more quickly, leading to faster resolution times and improved software reliability.Furthermore, run time statistics are not only beneficial during the initial development phase but also play a vital role in the maintenance and upgrading of software. As new features are added or existing ones modified, developers can continuously monitor run time statistics to ensure that the overall performance remains optimal. This ongoing analysis helps in maintaining a high-quality user experience and preventing degradation of performance over time.In conclusion, the significance of run time statistics in software development cannot be overstated. They provide critical insights that aid in performance optimization, algorithm selection, debugging, and ongoing maintenance. By harnessing the power of run time statistics, developers can create more efficient, reliable, and user-friendly applications. As technology continues to evolve, the importance of understanding and utilizing run time statistics will only grow, making it an essential skill for any aspiring programmer or software engineer.

在计算机编程和软件开发的世界中，性能优化是开发人员必须关注的一个关键方面。分析运行时统计数据是实现这一目标的重要工具，它提供了有关程序在执行过程中如何操作的宝贵见解。理解这些统计数据可以显著提高软件应用的效率和有效性。当我们谈论运行时统计数据时，我们指的是在程序运行时收集的各种指标。这些指标可以包括执行时间、内存使用情况、CPU利用率和函数调用频率等信息。通过收集这些数据，开发人员可以识别瓶颈和程序可能表现不佳的地方。例如，如果某个特定函数的执行时间异常长，这可能表明所使用的算法需要优化，或者需要更高效的数据结构。此外，运行时统计数据还可以帮助比较不同的算法或函数实现。当面临多种解决方案时，开发人员可以运行测试以收集每种方法的运行时统计数据。这种实证证据使他们能够根据特定条件做出明智的决定，选择最有效的解决方案。通过这种方式，运行时统计数据在决策过程中充当了指路明灯，引导开发人员朝着最佳选择前进。运行时统计数据的另一个重要方面是它们在调试和错误检测中的作用。当程序出现意外行为时，分析运行时统计数据可以揭示可能指向问题来源的模式或异常。例如，如果内存使用量意外激增，这可能表明存在内存泄漏或资源管理不当。通过理解运行时统计数据，开发人员可以更快地定位问题，从而缩短解决时间，提高软件可靠性。此外，运行时统计数据不仅在初始开发阶段有益，而且在软件的维护和升级中也发挥着至关重要的作用。在添加新功能或修改现有功能时，开发人员可以持续监控运行时统计数据，以确保整体性能保持最佳。这种持续分析有助于维持高质量的用户体验，防止性能随时间下降。总之，运行时统计数据在软件开发中的重要性不容小觑。它们提供了关键见解，帮助进行性能优化、算法选择、调试和持续维护。通过利用运行时统计数据的力量，开发人员可以创建更高效、更可靠且用户友好的应用程序。随着技术的不断发展，理解和利用运行时统计数据的重要性只会增加，使其成为任何有志于成为程序员或软件工程师的必备技能。