"面向安卓应用的崩溃信息在线分析系统设计与实施"

The Design and Implementation of Online Analysis System of Crash Information for Android Apps is a thesis written by Qiuting Li as part of her application for a master's degree in software engineering. The thesis focuses on the development of a system that can analyze and provide insights into the crashes that occur in Android applications. The system is designed to collect crash information from Android apps, such as stack traces, device information, and user actions leading up to the crash. This information is then analyzed to identify patterns and common causes of crashes, helping developers to understand and address underlying issues. Key features of the system include real-time monitoring of crashes, automatic categorization of crash reports, and visualization tools for interpreting the data. By providing developers with actionable insights, the system aims to improve the stability and performance of Android applications. The thesis outlines the design and implementation of the online analysis system, detailing the architecture, data processing pipeline, and user interface. It also discusses the technologies and tools used in the development process, such as Apache Kafka for data streaming and Elasticsearch for data storage and retrieval. Overall, the thesis demonstrates the value of having an online analysis system for crash information in improving the quality of Android apps. By leveraging data-driven insights, developers can proactively identify and resolve issues, leading to a better user experience and higher overall satisfaction with the applications.