run time diagnosis

简明释义

运行时诊断

英英释义

Run time diagnosis refers to the process of identifying and analyzing issues or errors that occur while a program or system is executing, rather than during its development or testing phases.

运行时诊断是指在程序或系统执行过程中识别和分析出现的问题或错误的过程,而不是在其开发或测试阶段。

例句

1.With run time diagnosis, developers can adjust parameters on the fly to optimize performance.

通过运行时诊断,开发人员可以动态调整参数以优化性能。

2.Developers can utilize run time diagnosis to monitor application performance in real-time.

开发人员可以利用运行时诊断实时监控应用程序性能。

3.By implementing run time diagnosis, we can catch errors before they affect users.

通过实施运行时诊断,我们可以在错误影响用户之前捕捉到它们。

4.The software includes a feature for run time diagnosis to identify issues during execution.

该软件包含一个功能,用于在执行期间进行运行时诊断以识别问题。

5.The system's run time diagnosis tools helped us pinpoint the source of the crash.

系统的运行时诊断工具帮助我们找到了崩溃的源头。

作文

In the realm of software development and system engineering, the term run time diagnosis plays a crucial role in ensuring the reliability and efficiency of applications. 运行时诊断 refers to the process of identifying and resolving issues that occur while a program is executing. This is particularly important because many errors may not be evident during the initial phases of development or testing. By implementing run time diagnosis, developers can monitor the behavior of their applications in real-time, allowing them to detect anomalies and performance bottlenecks as they happen.One of the primary benefits of run time diagnosis is its ability to enhance software quality. Traditional debugging methods often rely on static analysis or pre-run tests, which may miss critical issues that arise only during execution. For example, memory leaks or race conditions might only become apparent under specific conditions that are not replicated in a test environment. By utilizing run time diagnosis, developers can gain insights into how their code behaves in a live setting, leading to more robust and resilient applications.Moreover, run time diagnosis tools can provide valuable metrics that inform developers about system performance. These tools can track resource usage, response times, and error rates, giving a comprehensive view of the application's health. With this data, developers can make informed decisions about optimizations and enhancements. For instance, if a particular function consistently shows high latency, it can be targeted for optimization, improving overall user experience.Another significant aspect of run time diagnosis is its role in maintaining system security. Vulnerabilities can often be exploited during runtime, making it essential to have mechanisms in place to detect and respond to such threats. By monitoring application behavior, run time diagnosis can help identify unusual patterns that may indicate a security breach. This proactive approach allows organizations to mitigate risks before they escalate into serious incidents.Furthermore, the implementation of run time diagnosis aligns with modern agile practices, where continuous integration and deployment are emphasized. In agile environments, software is frequently updated, and new features are added regularly. This rapid pace can lead to unforeseen issues; thus, having a reliable run time diagnosis system in place ensures that any problems are caught early in the deployment process. It fosters a culture of quality assurance, where developers are encouraged to write better code and continuously improve their systems.In conclusion, run time diagnosis is an indispensable tool for modern software development. It enhances the quality, performance, and security of applications by providing real-time insights into their operation. As technology continues to evolve, the importance of run time diagnosis will only grow, making it a key component of successful software engineering practices. Embracing this concept not only leads to better software but also contributes to a more efficient development lifecycle, ultimately benefiting both developers and end-users alike.

在软件开发和系统工程领域,术语运行时诊断在确保应用程序的可靠性和效率方面发挥着至关重要的作用。运行时诊断是指识别和解决程序在执行过程中发生的问题的过程。这一点尤其重要,因为许多错误在开发或测试的初始阶段可能并不明显。通过实施运行时诊断,开发人员可以实时监控应用程序的行为,从而在问题发生时检测到异常和性能瓶颈。运行时诊断的主要好处之一是能够提高软件质量。传统的调试方法通常依赖于静态分析或预运行测试,这可能会错过仅在执行期间出现的关键问题。例如,内存泄漏或竞争条件可能仅在特定条件下显现,而这些条件在测试环境中并未重现。通过利用运行时诊断,开发人员可以深入了解代码在实际环境中的表现,从而开发出更健壮和更具弹性的应用程序。此外,运行时诊断工具可以提供有价值的指标,告知开发人员有关系统性能的信息。这些工具可以跟踪资源使用情况、响应时间和错误率,从而全面了解应用程序的健康状况。有了这些数据,开发人员可以就优化和增强做出明智的决策。例如,如果某个函数持续表现出高延迟,就可以针对其进行优化,从而改善整体用户体验。运行时诊断的另一个重要方面是它在维护系统安全中的作用。漏洞常常在运行时被利用,因此必须采取机制来检测和响应此类威胁。通过监控应用程序的行为,运行时诊断可以帮助识别可能表明安全漏洞的异常模式。这种主动的方法使组织能够在风险升级为严重事件之前减轻风险。此外,实施运行时诊断与现代敏捷实践相一致,强调持续集成和部署。在敏捷环境中,软件经常更新,新的功能定期添加。这种快速的节奏可能导致意想不到的问题;因此,拥有可靠的运行时诊断系统可以确保在部署过程中尽早捕获任何问题。这促进了一种质量保证的文化,鼓励开发人员编写更好的代码并持续改进他们的系统。总之,运行时诊断是现代软件开发中不可或缺的工具。它通过提供实时的操作洞察来提高应用程序的质量、性能和安全性。随着技术的不断发展,运行时诊断的重要性只会增加,使其成为成功软件工程实践的关键组成部分。接受这一概念不仅会导致更好的软件,还会有助于更高效的开发生命周期,最终使开发人员和最终用户都受益。

相关单词

diagnosis

diagnosis详解:怎么读、什么意思、用法