RISK FUSION MEASUREMENT OF SOFTWARE DEVELOPMENT BASED ON INFORMATION ENTROPY

An enterprise would get into a disaster state if they take the liberty to develop software without a good risk measurement. Therefore, the measure is very significant no matter for theoretic or practice. However, the measurement is quite difficult because there are many risk factors in process of software development. And, how much is the holistic risk of a project? Balanced the profit gained from the project and the risk, whether is worth to develop it or not? The questions are always scabrous for the corporations and scholars researched in software engineering field. In this paper, we made creatively a definition of risk fusion, and demonstrated the rationality of risk fusion measurement by using information entropy, and developed a model of risk fusion measurement of software development based on information entropy, and answered the former problems, and also provided a model case. The model can be used to measure the risk fusion, which have been proved in practice, and can be used as basis for risk decision-making.