采购请求与财务跟踪系统的敏捷原型设计方法

Mark Van M. Buladaco, Jennifer E. Sabugaa
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引用次数: 0

摘要

目的:设计一个采购请求和财务跟踪系统,以更好地支持政府机构快速,方便的管理,更好地了解其财务活动的更全面的策略。方法-它采用敏捷原型方法来实现快速和经济高效的周转。采用UML方法设计过程模型和数据模型。结果——原型允许你观察真实的用户行为,因为他们与你的设计交互,并在实现它们之前获得关于你的设计、替代方案和想法的详细反馈。本文设计并提出了各种过程和数据模型,并提供了程序员在软件开发生命周期(SDLC)中遵循的精确和理解的步骤。结论-将已开发的模型作为政府参与和接受新兴技术创新的指导,将影响采购请求流程和财务跟踪管理质量。这些模型肯定会为那些将这些印刷品付诸行动或实施的专家和其他希望寻求与采购请求和政府交易财务跟踪相关事实的研究人员提供新的知识、理论和方法。建议-建议在菲律宾政府机构的采购请求和财务跟踪中使用此设计来开发软件。还建议考虑添加PR Mapping;除了通过状态跟踪公关之外,他们还可以建议添加公关映射来跟踪公关,上传购买请求中需要的其他文档,并添加机器学习算法来预测每个办公室未来几年的预算分配。研究意义-本文的结果最终将在菲律宾不同政府机构的采购请求系统的开发中具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Agile Prototyping Approach on the Design of the Purchase Request and Financial Tracking System
Purpose – This paper focuses on designing a purchase request and financial tracking system to better support the government agencies in fast, easy management and better understand a more comprehensive strategy for its financial activities. Method – It employs an agile prototyping approach for fast and cost-effective turnaround. UML approach was utilized for designing process models and data models. Results – The prototypes allow you to observe real user behavior as they interact with your design and obtain detailed feedback about your designs, alternatives, and ideas before implementing them. Various process and data models are designed and presented in this paper with exact and comprehend steps for the programmers to follow during the software development life cycle (SDLC). Conclusion – Making the developed models as the government's guide in engaging and embracing emerging technological innovations would impact the purchase request processes and financial tracking management quality. These models will certainly provide new knowledge, theories, and methods for the experts who will put these prints into action or implementation and other researchers who wish to seek facts relevant to purchase requests and financial tracking of government transactions. Recommendations – It is recommended to utilize this design to develop the software in a purchase request and financial tracking in government agencies in the Philippines. It is also recommended to consider adding PR Mapping; aside from tracking the PR through status, they could suggest adding the PR mapping to track the PR, upload other documents that require in their purchase request, and adding machine learning algorithms to predict the budget allocation of each office for the next incoming years. Research Implications – This paper's results will eventually be significant in the development of a purchase request system for different government agencies in the Philippines.
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