Managing Conflict in System Diagnosis

Advanced diagnostic techniques have become essential for supporting reliable testing of modern systems due to the rapid growth in complexity of these systems. Errors in the test process become more likely with increased complexity and need to be treated carefully to maximize accuracy in diagnosis. In this paper, we discuss several approaches to analyzing conflicting test results. We have concentrated on one approach based on model-based diagnosis—the information flow model—to identify conflict and improve diagnostics.