A　new　approach　for　assessing　and　optimizing　software　project　process　based　on　software　risk　control　presented,　which　evaluates　and　optimizes　software　project　process　from　the　view　of　controlling　the　software　project　risks.　A　model　for　optimizing　software　risk　control　is　given,　a　discrete　optimization　algorithm　based　on　dynamic　programming　is　proposed　and　an　example　of　using　above　method　to　solve　a　problem　is　also　included　in　this　paper.　By　improving　the　old　passive　post-project　control　into　an　active　effective　pre-action,　this　new　method　can　greatly　promote　the　possibility　of　success　of　software　projects.