2007
DOI: 10.1109/ats.2007.4388027
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An Efficient Diagnostic Test Pattern Generation Framework Using Boolean Satisfiability

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Cited by 5 publications
(8 citation statements)
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“…In addition a fast fault pair filter is inserted between the two phases to improve the efficiency of the OPG procedure. In summary the proposed method has the following advantages: 1) the two-phase-based DPG is more efficient, requiring less CPU time, 2) the modified circuit in the proposed method needs only two copies of the original circuit compared to three copes in [1] and four copies in [8], resulting in less ATPG complexity, and (3) only combinational ATPG for stuck-at faults is involved compared to the sequential ATPG requirement in [9].…”
Section: Proposed Diagnostic Pattern Generationmentioning
confidence: 99%
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“…In addition a fast fault pair filter is inserted between the two phases to improve the efficiency of the OPG procedure. In summary the proposed method has the following advantages: 1) the two-phase-based DPG is more efficient, requiring less CPU time, 2) the modified circuit in the proposed method needs only two copies of the original circuit compared to three copes in [1] and four copies in [8], resulting in less ATPG complexity, and (3) only combinational ATPG for stuck-at faults is involved compared to the sequential ATPG requirement in [9].…”
Section: Proposed Diagnostic Pattern Generationmentioning
confidence: 99%
“…[n [1 ]- [9] some diagnostic test generation procedures are proposed to generate more patterns to distinguish most fault pairs. [n particular, the work in [[] [8] [9] are specifically aimed to deal with transition faults that are the main targets of AC diagnosis in industry. In [1], a three-phase diagnostic pattern generation method for transition faults is developed that requires only a combinational stuck-at fault ATPG tool.…”
Section: Introductionmentioning
confidence: 99%
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“…This heuristic does not guarantee to find counterexamples that strengthen the diagnosis. Diagnostic Test Pattern Generation (DTPG) [11] calculates traces to distinguish given faults, but requires a specific fault model like stuck-at faults, and is therefore not modelfree. For debugging the fault model is typically unknown.…”
Section: Introductionmentioning
confidence: 99%
“…The second step is Diagnostic Trace Generation (DTG). Similar to diagnostic test patterns [27] [28], diagnostic traces distinguish the behavior of fault candidates [15]. DTG works on sequential circuits and does not require a precise fault model.…”
Section: Generalized Automated Debugging Proceduresmentioning
confidence: 99%