Fault Tree Based Prediction of Software Systems Safety

In our modern world, software controls much of the hardware (equipment, electronics, and instruments) around us. Sometimes hardware failure can lead to a loss of human life. When software controls, operates, or interacts with such hardware, software safety becomes a vital concern. To assure the safety of software controlling system, prediction of software safety should be done at the beginning of systempsilas design. The paper focused on safety prediction using the key node property of fault trees. This metric use parameter "s" related to the fault tree to predict the safety of the software control systems. This metric allow designers to measure and the safety of software systems early in the design process. An applied example is shown in the paper.