Managing Software Project Risks (Implementation Phase) with Proposed Stepwise Regression Analysis Techniques

Abstract

Regardless how much effort we put for the success of software projects, many software projects have very high failure rate and risks are everywhere in life. Risk is not always avoidable, but it is controllable. The aim of this paper is to present new techniques by which we can study the impact of different risk management techniques and different risk factors on software development projects. The new technique uses the stepwise regression to managing the risks in a software project and reducing risk with software process improvement. Top ten software risk factors (Implementation phase) and thirty control factors were presented to respondents. The results show that all risks in software projects were important in software project manager perspective, whereas all controls are used most of time, and often. These tests were performed using regression analysis to compare the controls to each of the risk factors to determine if they are effective in mitigating the occurrence of each risk factor and selecting best model. We referred the risk management techniques were mitigated on ten top software risk factors in Table XLVI. The study has been conducted on a group of software project managers. Successful project risk management will greatly improve the probability of project success.