چکیده (انگلیسی):

Risk is not always avoidable, but it is controllable. The aim of this study is to identify whether those
techniques are effective in reducing software failure. This motivates the authors to continue the effort to
enrich the managing software project risks with consider mining and quantitative approach with large data
set. In this study, two new techniques are introduced namely stepwise multiple regression analysis and
fuzzy multiple regression to manage the software risks. Two evaluation procedures such as MMRE and
Pred (25) is used to compare the accuracy of techniques. The model’s accuracy slightly improves in
stepwise multiple regression rather than fuzzy multiple regression. This study will guide software managers
to apply software risk management practices with real world software development organizations and verify
the effectiveness of the new techniques and approaches on a software project. The study has been conducted
on a group of software project using survey questionnaire. It is hope that this will enable software managers
improve their decision to increase the probability of software project success.