Ph.D. in Software Engineering
2017-09-01
2023-06-30
Nanjing University
B.Eng. in Software Engineering
2013-09-01
2017-06-30
Nanjing University
Autonomous Driving Systems (ADSs) rely on Deep Neural Networks, allowing vehicles to navigate complex, open environments. However, the unpredictability of these scenarios …
Logs record the behavioral data of running programs and are typically generated by executing log statements. Software developers generally carry out logging practices with clear …
The microservice architecture has been commonly adopted by large scale software systems exemplified by a wide range of online services. Service monitoring through anomaly detection …
_Background:_ Logging practices provide the ability to record valuable runtime information of software systems to support operations tasks such as service monitoring and …
_Background:_ Logs provide crucial information to understand the dynamic behavior of software systems in modern software development and maintenance. Usually, logs are produced by …
Continuity and steadiness are vital for services with massive users, which requires the anomalies of services should be detected and resolved in a timely manner. Our previous work …
An empirical study on how developers' profiles and experience influence their logging practices and intentions.
A web-based system that helps manage and monitor student DevOps projects, easing evaluation for teachers and supporting team collaboration.
A reference to the introduction of MAP.
研究设计的质量取决于四个关键设计属性：内部效度，外部效度，构念效度和统计结论效度。 本文将详细介绍这四个效度。
AIOps 是人工智能在软件运维中的应用，即利用机器学习、大数据和自动化决策来完成一系列需要人为进行大量手工干预的传统运维操作流程。 通过对运维数据的算法分析，AIOps 能够帮助运维或 DevOps 团队更智能、更快速的完成运维工作，从而在业务运营和客户受到影响之前，更早的发现软件系统问题并快速解决。 在 DevOps 环境下，运维团队能够通过 AIOps 应对现代 IT 环境产生的大量复杂数据，从而防止中断，维持正常运行时间，实现持续的服务保障。 AIOps 已经成为监控和管理混合、动态、分布式和组件化的现代 IT 环境的关键。 本节将从软件运维的发展历史切入，介绍 AIOps 的必要性、构成及工作方式，并简述了 AIOps 的优势和使用场景。
最近又开始折腾博客了，大概拖了有一个月了才开始记录迁移博客的感受。 简言之，让我从 Hexo 迁移到 Hugo 最大的原因是 Emacs Org mode 下的 Hugo 插件。
读完《卓有成效的管理者》后在此对一些重要观点进行记录。
