Theory Of Rough Set And BP Neural Network In The Application Of The Education Software Project Risk Management

Information technology has been widely used since21st century, which needs from moreand more businesses, thereby makes it to a rapid development. While at the same the rapiddevelopment of the software industry displays a lot of problems, such as project developmenttime expires, the development cost overruns, the product does not meet customer’s demand,which is mainly because of the software improperly identification and not to solve the risks ofthe software projects. Enterprises can solve this problem only by improving the riskmanagement systems and introduce the effective risk assessment tools.By studying the relevant literatures, finds that there are three research methods in riskmanagement, the first is the theoretical study of risk management, and the second is from theexperience of the project risk management research，and the third uses the other field maturetechnology to solve the problem of project risks. SEI (Software Engineering institution)software risk classification systems will be used in this paper, then to identify and asset thesoftware project risk by combining the rough set theory and neural network.This method takes over the risk classification system which is built up by softwareengineering authority SEI,and it’s built up years of experience in the field of software projectmanagement to identify the risks of the project. To reduce the risk factors of the identified riskfactors by using the characteristics of the rough set about to distinguish the interactrelationship between the condition attributes and decision attributes, and then gets noredundancy factor risk factors set. The results by this way can improve the predictionaccuracy of the BP neural network and be shorten the training time. The risk factors set willgive a clear direction to the risk control plan.This study is designed to help the software project managers to make on projectdecisions much fairer, more scientific, and then can put the limited investment into the mostimportant and urgent projects, so the successful project can promote the company developmuch faster and better.