Abstract
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 chapter, we discuss several approaches to analyzing conflicting test results. We have concentrated on one approach based on model-based diagnosis—the diagnostic inference model—to identify conflict and improve diagnostics.
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Sheppard, J.W., Simpson, W.R. (1998). Accurate Diagnosis through Conflict Management. In: Research Perspectives and Case Studies in System Test and Diagnosis. Frontiers in Electronic Testing, vol 13. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5545-2_6
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DOI: https://doi.org/10.1007/978-1-4615-5545-2_6
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