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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jia Keat Lee Phon-Amnuaisuk, S. Huat Chin Chew Chin Kuan Ho |
| Copyright Year | 2007 |
| Description | Author affiliation: Multimedia Univ., Cyberjaya (Jia Keat Lee; Phon-Amnuaisuk, S.) |
| Abstract | Due to the circuit complexity and the number of parameters involved, test relationship of a Test Program (TP) might not be fully discovered. Traditionally, TP setup are defined based on the domain expertise and gathered experience of an engineer. Such judgment is time consuming and could be inefficient especially when new products and technologies are rapidly developed for the competing market. If the complexity of a TP increases, the undetected interrelationship among tests in a TP will also increase. In this paper, inferences are performed to a huge and complex TP using different classification algorithms, with the primary goal to discover potential test relationships in a fast and efficient way. The mining output can be used as a reference and basis for test engineers to improve TP setup or to reprogram test machine to replace current exhaustive test policy. |
| Starting Page | 343 |
| Ending Page | 347 |
| File Size | 287303 |
| Page Count | 5 |
| File Format | |
| ISBN | 0769530451 |
| DOI | 10.1109/ISITC.2007.45 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-11-23 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Performance evaluation Process design Data analysis Inference algorithms Manufacturing Classification algorithms Complexity theory Circuit testing Information technology |
| Content Type | Text |
| Resource Type | Article |
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