摘 要
随着信息技术的迅猛发展，数据库作为信息系统的核心组件，在数据存储与管理方面发挥着不可替代的作用。在数据库设计过程中引入软件工程技术具有重要的现实意义。本研究旨在探讨软件工程技术在数据库设计中的作用，以提高数据库系统的性能、可靠性和可维护性。通过对软件工程中需求分析、设计模式、质量保证等关键环节的研究，结合数据库设计的特点，采用理论分析与案例研究相结合的方法，深入剖析了软件工程技术各要素对数据库设计的影响。研究发现，运用软件工程技术能够使数据库设计更加科学合理，从需求获取阶段确保数据模型的准确性与完整性，通过规范化的设计流程减少冗余和错误，利用测试技术保障系统稳定运行。创新点在于将软件工程的迭代开发理念融入数据库设计周期，提出基于用例驱动的数据建模方法，实现了数据库结构与业务逻辑的有效融合，提高了系统的适应性。
关键词：数据库设计 软件工程技术 需求分析
Abstract
With the rapid development of information technology, database, as the core component of information system, plays an irreplaceable role in data storage and management. It is of great practical significance to introduce software engineering technology in the database design process. The study aims to explore the role of software engineering techniques in database design to improve the performance, reliability and maintainability of the database systems. Through the research of demand analysis, design mode and quality assurance, combined with the characteristics of database design, using the method of combining theoretical analysis and case study, the influence of each element of software engineering technology on database design is deeply analyzed. It is found that the use of software engineering technology can make the database design more scientific and reasonable, ensure the accuracy and integrity of the data model from the demand acquisition stage, reduce the redundancy and errors through the standardized design process, and use the test technology to ensure the stable operation of the system. The innovation point is to integrate the iterative development concept of software engineering into the database design cycle, and put forward the data modeling method based on use case drive, which realizes the effective integration of database structure and business logic, and improves the adaptability of the system.
Keyword:Database Design Software Engineering Technology Requirements Analysis
目 录
1绪论 1
1.1研究背景与意义 1
1.2研究现状综述 1
1.3研究方法概述 1
2数据库设计的需求分析 2
2.1需求获取与分析 2
2.2软件工程在需求中的作用 3
2.3需求管理与变更控制 3
3数据库设计的架构规划 4
3.1架构设计原则 4
3.2软件工程技术的应用 4
3.3架构优化与性能提升 5
4数据库设计的实现与测试 6
4.1设计模式的选择 6
4.2测试策略与实施 6
4.3质量保证与改进 7
结论 7
参考文献 9
致谢 10
