Abstract
The aim of this paper is to present new statistical techniques –namely, the stepwise multiple regression analysis techniques and Durbin Watson techniques to reduce software maintenance risks in a software projects. However, these statistical measures would be performed using stepwise multiple regression analysis and Durbin Watson statistic techniques to compare the risk management techniques to each of the software maintenance risk factors to identify if they are effective in reducing the occurrence of each software maintenance risk factor and selecting the best model. Also ten top software maintenance risk factors were mitigated by using risk management techniques in Table 24. The study has been conducted on a group of software project managers. The success of software project risk management will greatly improve the probability of software project
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