一种从组织业务数据中获取软件需求的方法

针对隐藏于组织业务海量数据中的隐性软件需求获取提出一种方法。该方法的基本思想是：组织业务海量数据中隐含软件需求，它是以隐性知识形式存在于海量数据中的，隐性知识利用的解决方案就是组织及利益相关者对待开发软件系统的要求（软件需求）。首先，构建一个完整的、无冲突的、正确的待开发软件系统目标及其关系模型，并在待开发系统目标指导下，利用数据挖掘技术对数据进行挖掘，从中发现隐性知识；然后，识别知识的有用性和可用性；最后为可用性知识的利用提供解决方案。进而获取隐藏于大量数据中的隐性软件需求．

A Method of Software Requirements Acquisition from Data of Organization Business

Presents a method of software requirements acquisition from large data of organization business. The basic idea of this approach is, there are the potential software requirements which exist by knowledge form in large data of organization business, these solutions on the use of knowledge are software requirements. First builds a complete unconflict model of software system goals and goals＂ relation, under the guidance of software system goals, knowledge is discovered by data mining in database. Secondly, distinguishes the usefulness and usability of knowledge. Finally, provides solutions for the use of the usability knowledge, and then obtains the recessive software requirements hidden in the large amounts of data.