模糊理論(fuzzy theory)適合用來獲得與分析在本質上不精確的非正規需求(imprecise informal requirements)，同時，XML是一種在網際網路資料處理上新興的並且具有優勢的資料格式。在這篇論文中，我們發展了一個以XML為基礎的FOOM schema來建立其需求規格(specification)並且含括了型別(stereotype)的概念來促進不精確需求的規劃。我們也提出一個方法，用來轉換這個FOOM schema成為一組會自動作確認內容合法化(content validation)與資料存取(data access)的APIs。除此之外，我們也提出一種綱目圖(schema graph)，這是FOOM schema結構的內部表現形態，並且作為FOOM schema與用來確認XML文件內容合法化與存取XML文件資料APIs的橋樑。最後，我們實作了一個工具用來證明我們所提出的方法。 Fuzzy theory is suitable to capture and analyze the informal requirements that are imprecise in nature, meanwhile, XML is emerging as one of the dominant data formats for data processing on the internet. In this thesis, we have developed an FOOM schema based on XML to model the requirements specifications and incorporated the notion of stereotype to facilitate the modeling of imprecise requirements. FOOM schema is also transformed into a set of application programming interface (API) for content validation and data access in an automatic manner. A schema graph is proposed to serve as an intermediate representation for the structure of FOOM schema to bridge the FOOM schema and APIs for both content validation and data access for the XML documents. A FOOM prototype is implemented to demonstrate our approach.
