Statistical criteria to rationalize the choice of run-time observation points in embedded software

Runtime observation points are fixed once for all in embedded software in aircraft. Thus the selection should optimize the detection, explanation and isolation of all failures or errors that can occur Currently, this selection is based on expert practice. We propose to use statistical criteria to support this choice. In this paper, we present some criteria inspired by information theory and some experiments conducted to evaluate the criteria relevance.