基于大数据系统的软件工程管理模式及方法

Research on Software Engineering Management Mode and Method based on Big Data System

随着5G时代的到来、移动互联网的不断深入发展和人类信息化意识的不断强化,社会信息化程度的不断深入,软件行业面临大数据时代所带来的数据体量激增、开发量级不断迭代增长的新局面。如何通过创新大数据系统中软件工程管理模式及方法,提升软件工程的管理水平,有针对性的优化短板问题,提升行业竞争力,成为软件开发企业的当务之急。在这样的时代背景下,本文在分析大数据系统中软件工程技术的现状及相关应用后,针对大数据系统中软件工程朝着服务化、开源化和群体性的发展趋势,从大数据系统的项目规划、成本控制、过程管理以及工程集成等方面对大数据系统中软件工程管理模式进行探究,并从工程管理和项目控制两个项目管理领域的主要方面提出分布式软件开发、一体化过程管理的模式,以及人员培训、进度管理和成本控制等管理控制方法,以供参考。

With the advent of the 5G era,the further development of the mobile Internet,and the ever-increasing human awareness of informationization,the software industry is facing a surge of data volume and an iterative incremental development brought by the big data era.Thus,it is a top priority for software development enterprises to enhance the competitive edge by innovating the software engineering management mode and methods and improving the management level.In such a context,through analyzing the current situation and the application of the software engineering in a big data system,and considering the development trend of service,open source and group development,this research explores the software engineering management mode and method based on big data system,which includes project planning,cost control,and process control,and engineering integration.Distributed software development and integrated process management are proposed for the two main aspects of project management and project control.Personnel training,schedule management and cost control are also discussed.