Title :
General Analysis of Requirements for Risk-Oriented Financial Data Modeling
Author :
Wu, Bao-ming ; Yu, Song-nian
Author_Institution :
Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
Abstract :
Data modeling is a challenge field in computer engineering. Although researcher made great progresses theoretically, mature technologies in developing and designing are still on the way of exploring. We are engaged in a kind of novel financial data modeling. In the course of our study we found a new method usable in our developing, namely, general analysis of requirements. With this new thought, our work makes breakthrough in process. This paper intends to introduce our study work and the conclusion. We firstly present the new method with which our research is smoothed. We also discuss this method as an exploration in theory. Secondly, we elicit the general requirements for the financial data model from various needs of stakeholders or other roles interested as a common request in the same kind of software usage. Thirdly, we disambiguate the misunderstanding in conception of risk information. Finally we put out the concept of risk used in financial data model as a result of general analysis of requirements. In this paper we also propose the thought of Software Requirements Generalization (SRG) for the first time. This method can be extended to all the computer software designing and developing.
Keywords :
data analysis; financial data processing; software engineering; computer engineering field; general requirements analysis; requirements analysis; risk-oriented financial data modeling; software design; software development; software requirements generalization; Analytical models; Business; Computational modeling; Data models; Economics; Object oriented modeling; Software; consepual data modeling; financial data modeling; software requirements generalization (SRG);
Conference_Titel :
Modeling, Simulation and Visualization Methods (WMSVM), 2010 Second International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-7077-8
Electronic_ISBN :
978-1-4244-7078-5
DOI :
10.1109/WMSVM.2010.35