CPP-ATPG: A Circular Pipeline Processing Based Deterministic Parallel Test Pattern Generator

Yeh, Kuen-Wei; Huang, Jiun-Lang; Wang, Laung-Terng

doi:10.1007/s10836-016-5615-z

Cited by 2 publications

(1 citation statement)

References 17 publications

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“…In fact, when the IRSS test project is described by an ordered sequence of IITP execution subelements, parallel testing can be realized on the IITP. e purpose of parallel testing is to improve test efficiency by integrating the test of test projects according to their test resource [34]. In order to further demonstrate the superiority of our proposed method, parallel testing on the IITP is designed according to the IRSS test project sequences.…”

Section: Irss Test Projectsmentioning

confidence: 99%

A Test Procedure Optimization Method for an Industrial Robot Servo System on an Integrated Testing Platform

et al. 2020

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A test procedure optimization method was proposed in this paper to improve the test efficiency of the industrial robot servo system (IRSS) to be tested on the IRSS integrated testing platform (IITP). First, an ordered sequence was used to define the IRSS test project when tested on the IITP. The ordered sequence consisted of execution subelements, which were a combination of control variable parameters of the IITP. Second, the optimization relationships among the IRSS test projects were dug out according to the IRSS test project sequences. Finally, by using the traveling salesmen problem (TSP), an optimization model was established based on the optimization relationships of the IRSS test projects, and the optimal test order of the IRSS test projects to be tested on the IITP was obtained by solving the model. A case analysis showed that the proposed method optimized the test procedure on the IITP effectively, and the test time when implementing the test on the IITP according to the optimized order was nearly 50% shorter than before optimization. The optimization effect was thus found to be significant.

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Section: Irss Test Projectsmentioning

confidence: 99%