Software Risk Ranking Assessment Model using Fuzzy Decision-Making Trial and Evaluation Laboratory

To ensure the quality of the software development process by developing an effective risk management framework. Project development, programs, and organizational activities are strongly influenced by the presence of hazardous events. Project success can be attributed to prioritizing project risk. Therefore, non-eliminable software risks must be given significant priority for the full success of the project. In this study, a risk assessment in a software project is conducted by evolving with a fuzzy basis. The life of software development includes a number of key software programs that greatly support the decision-making process. The most important and inevitable major software projects are identified and gradation by using methods the decision-making is unclear, make decisions, and laboratory evaluation (fuzzy DEMATEL) to assess the risk of the project. NASA’s data, 93 projects is used to carry out experimental validation. The results obtained show that project implementation is achieved by a set of factors called software risk factors. The experimental results showed improvements in risk assessment of the project application.