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Test Data Truncation for Test Quality Maximization under ATE Memory Depth Constraint
Linköpings universitet, Tekniska högskolan. Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system.
Linköpings universitet, Tekniska högskolan. Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system.
2007 (Engelska)Ingår i: IET Computers and digital techniques, ISSN 1751-8601, Vol. 1, nr 1, s. 27-37Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Testing is used to ensure production of high quality integrated circuits. High test quality implies the application of high quality test data; however, technology development has led to a need to increase test data volumes to ensure high test quality. The problem is that the high test data volume leads to long test application times and high automatic test equipment memory requirement. For a modular core-based system-on-chip, a test data truncation scheme is proposed, that selects test data for each module in such a way that the system test quality is maximised while the selected test data are guaranteed to overcome constraints on time and memory. For test data selection, a test quality metric is defined based on fault coverage, defect probability and number of applied test vectors, and a scheme that selects the appropriate number of test vectors for each core, based on the test quality metric, defines the test architecture and schedules the transportation of the selected test data volume on the test access mechanism such that the system's test quality is maximised. The proposed technique has been implemented, and the experimental results, produced at reasonable CPU times on several ITC'02 benchmarks, show that high test quality can be achieved by careful selection of test data. The results indicate that the test data volume and test application time can be reduced to about 50% while keeping a high test quality.

Ort, förlag, år, upplaga, sidor
2007. Vol. 1, nr 1, s. 27-37
Nyckelord [en]
testing, electronic systems, memory constraints
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
URN: urn:nbn:se:liu:diva-35466Lokalt ID: 26928OAI: oai:DiVA.org:liu-35466DiVA, id: diva2:256314
Tillgänglig från: 2009-10-10 Skapad: 2009-10-10 Senast uppdaterad: 2018-01-13

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http://www.ida.liu.se/labs/eslab/publications/pap/db/erila_iet07.pdf

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Larsson, ErikEdbom, Stina

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