“Software Risk Assessment Process Using Soft Computing Methods”

Abstract — Estimating software development risk is an important task in the management of large software projects. A number of estimation models exist for risk prediction. However, there is a need for a novel model in order to obtain more accurate estimations. The primary purpose of this study is to propose method of estimation by selecting the most popular models in order to improve accuracy. In this pape r, we explore the use of Soft Computing Techniques to build a suitable model structure to utilize improved estimation of software risk for software projects. We have used a software risk assessment & estimation model, using this model it is to predict th e possible results of the software projects within good accuracy. Risk assessment methods are one of the most important elements in the process of risk assessment process. These methods consider all the aspects while assessing and calculating the risks. Since software development is a human intensive activity, diverse factors related to human behavior also play a important role in this situation. Software risk assessment methods should take into account all these factors in combination to each other. This paper analysis the current risk assessment methods for their consideration of human related factors. Only by taking the software development process within its real complexity, which includes not only software and hardware resources but also the humans as a corn bean which could be achieved a satisfactory level of the risk assessment process