In this work, we identify trigger factors of software defects that are responsible for severe defects. We conducted a case study on a system by classifying 842 defects according to their trigger factors and then identified the level of severity they have on this system. Knowing these types of triggers helps software maintenance teams improving the management of software defects by reducing the cost of maintaining the system, consequently the cost of software projects.