An Approach to Measuring Software Development Risk Based on Information Entropy

Software development risk always influence the success of software project, even determine a enterprise surviving or perishment. Consequently, there are some significant meaning for software company and software engineering field to measure effectively the risk. Whereas, the measurement is very difficult because software is a sort of logic product. There are many methods to measure the risk at the present time, but lack of quantificational measurement methods, and these measurements are all localization and they cannot consider well the risk factors and the effect. In this paper, we bring forward a quantificational approach to measuring the software development risk based on information entropy. It involves both the probabilities of the risk factors and the bloss, it is a effective synthesis method to measuring software development risk in practice.