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Automatic test pattern generation

About: Automatic test pattern generation is a research topic. Over the lifetime, 8214 publications have been published within this topic receiving 140773 citations. The topic is also known as: ATPG.


Papers
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Journal ArticleDOI
TL;DR: Experimental results for the ISCAS benchmark circuits show that it is indeed possible to embed the entire precomputed test set in a TRC sequence using only a small number of seeds.
Abstract: We present a new approach for built-in test pattern generation based on the reseeding of twisted-ring counters (TRCs). The proposed technique embeds a precomputed deterministic test set for the circuit under test (CUT) in a short test sequence produced by a TRC. The TRC is designed using existing circuit flip-flops and does not add to hardware overhead beyond what is required for basic scan design. The test control logic is simple, uniform for all circuits, and can be shared among multiple CUTs. Furthermore, the proposed method requires no mapping logic between the test generator circuit and the CUT; hence it imposes no additional performance penalty. Experimental results for the ISCAS benchmark circuits show that it is indeed possible to embed the entire precomputed test set in a TRC sequence using only a small number of seeds.

44 citations

Journal ArticleDOI
TL;DR: An efficient method to select a minimal set of testable paths in scan designs, such that every line in the circuit is covered by at least one of the longest testable path that contain it (if there are any).
Abstract: We propose an efficient method to select a minimal set of testable paths in scan designs, such that every line in the circuit is covered by at least one of the longest testable paths that contain it (if there are any). The proposed path selection approach is based on a stepwise path expansion procedure that uses delay information and compact information about untestable paths to select longest paths while avoiding untestable paths. Techniques called delay analysis and delay-constrained path expansion are used to speedup the selection of paths to test. Compared to earlier approaches, the proposed approach is fast and it is guaranteed to find testable paths. Experimental results for ISCAS89 benchmark circuits using standard scan and broadside testing are presented to demonstrate the effectiveness of the proposed method.

44 citations

Journal ArticleDOI
TL;DR: An automated and systematic approach for testing and debugging networks called “Automatic Test Packet Generation” (ATPG), which reads router configurations and generates a device-independent model and finds that a small number of test packets suffices to test all rules in these networks.
Abstract: Networks are getting larger and more complex, yet administrators rely on rudimentary tools such as ping and traceroute to debug problems. We propose an automated and systematic approach for testing and debugging networks called “Automatic Test Packet Generation” (ATPG). ATPG reads router configurations and generates a device-independent model. The model is used to generate a minimum set of test packets to (minimally) exercise every link in the network or (maximally) exercise every rule in the network. Test packets are sent periodically, and detected failures trigger a separate mechanism to localize the fault. ATPG can detect both functional (e.g., incorrect firewall rule) and performance problems (e.g., congested queue). ATPG complements but goes beyond earlier work in static checking (which cannot detect liveness or performance faults) or fault localization (which only localize faults given liveness results). We describe our prototype ATPG implementation and results on two real-world data sets: Stanford University's backbone network and Internet2. We find that a small number of test packets suffices to test all rules in these networks: For example, 4000 packets can cover all rules in Stanford backbone network, while 54 are enough to cover all links. Sending 4000 test packets 10 times per second consumes less than 1% of link capacity. ATPG code and the data sets are publicly available.

44 citations

Proceedings ArticleDOI
26 Oct 1991
TL;DR: New extensions to the EST' algoritlm, which accelerates combinational circuit Redundancy Identification and Automatic Test Pattern Generation algorithms, in particular SOCRATES, ensure that each portion of the ATPG search space is explored only once.
Abstract: We present new extensions to the EST' algoritlm, which accelerates combinational circuit Redundancy Identification and Automatic Test Pattern Generation (ATPG) algorithms, in particular SOCRATES. EST detects equivalent search states, which are saved. for all faults during ATPG. The search space is reduced by using learned Search State equiualences to detect previously-encountered search states (possibly from prior faults) and to make internal node assignments. We present two extensions to EST. The first ensures that each portion of the ATPG search space is explored only once. The second applies headline objectives in parallel, rather than serially. For the 1965 ISCAS combinational benchmarks, EST accelerates S 0 CRATES by 6.53 times, when all faults are targeted, and by 5.51 times, when used with random pattern generation, f,iult simulation and fault dropping. This acceleration was achieved with minimal memory overhead.

44 citations

Journal ArticleDOI
TL;DR: Two heuristic test generators satisfying heuristic constraints related to LSI testing are introduced and a test generator (DALG) for combinational logic is presented.
Abstract: Programmed algorithms for test generation and test evaluation are described. The D-notation is introduced and a test generator (DALG) for combinational logic is presented. The sequential case is then examined. "Real life" constraints related to LSI testing are discussed. Two heuristic test generators satisfying these constraints are introduced. The iterative test generator (ITG) generates tests by transforming the given sequential circuit into an iterative combinational circuit. The macroblock test generator (MTG) uses the same approach but makes use of complex primitives (latches, triggers, etc.) to represent the circuit to be tested. Both the ITG and the MTG are not always guaranteed to generate good tests for each examined failure, and are used in connection with a test evaluator (simulator). Basic features of this evaluator are discussed.

44 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202338
202278
202125
202048
201980
201869