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Xi-an Zhu

dblp:19/1747 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1985
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Electronic design automation · 100%
Artificial intelligence
1 paper
Knowledge representation and reasoning · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Electronic design automation › hardware verification and test
design for testability
0.011985
A knowledge based system for selecting a test methodology for a PLA · DAC 1985
Electronic design automation › hardware test
testable PLA design
0.011985
A knowledge based system for selecting a test methodology for a PLA · DAC 1985
Knowledge, reasoning and agents › Knowledge representation and reasoning
knowledge-based systems
0.011985
A knowledge based system for selecting a test methodology for a PLA · DAC 1985

Methods — techniques the papers use, named apart from their topics

reason analysis · 0.0knowledge-based search · 0.0
YearPublicationVenuePosition
1985 A knowledge based system for selecting a test methodology for a PLA
abstract
Testability is a very important aspect of VLSI circuits. Numerous design for testability (DFT) methods exist. Often designers face the complex problem of selecting the best DFT techniques for a particular chip under a set of design constraints and goals. In order to aid in designing testable circuits, a prototype knowledge based system has been developed which simulates a human expert on design of testable PLAs. The system, described in this paper, has knowledge about testable PLA design methodologies and is able to negotiate with the user so as to lead the user through the design space to find a satisfactory solution. A new search strategy, called reason analysis, is introduced.
Melvin A. Breuer, Xi-an Zhu
DAC2