Analysis of Software Engineering Management Methods of Big Data System
大数据系统软件工程管理方法分析

摘要

在大数据时代的社会背景下，应用软件在开发的过程中遇到了多重困难，为了更好的应对软件开发过程中面对的资源共享、生命周期、维修维护等问题，针对大数据系统中的软件工程管理问题逐渐受到了相关专家的重视。基于此，首先对大数据系统中的软件工程管理进行了概述，多角度阐述了软件服务与大数据之间的关系。分析与整理了大数据系统中软件工程管理模式架构，并从构建管理规章体制、强化关键点的把控以及注重质量监管关键点三个方面提出了大数据系统中软件工程管理的有效方法。通过软件工程管理，使得庞大的数据库更加安全稳定，同时实现高效管理。

Abstract

In the social background of the era of big data, the application software has encountered multiple difficulties in the process of development. In order to better deal with the resource sharing, life cycle, maintenance and other problems faced in the process of software development, the software engineering management problems in the big data system have gradually attracted the attention of relevant experts. Based on this, the software engineering management in the big data system is summarized first, and the relationship between the software service and the big data is expounded from multiple angles. This paper analyzes and sorts out the architecture of the software engineering management mode in the big data system, and puts forward the effective method of the software engineering management in the big data system from the three aspects of building the management rules and regulations, strengthening the control of the key points and paying attention to the key points of the quality supervision. Through software engineering management, the huge database is more secure and stable, while realizing efficient management.