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Cited by 260

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Modeling concepts for VLSI CAD objects

Batory, D. S., Kim, Won·1985·ACM Transactions on Database Systems

Abstract

VLSI CAD applications deal with design objects that have an interface description and an implementation description. Versions of design objects have a common interface but differ in their implementations. A molecular object is a modeling construct which enables a database entity to be represented by two sets of heterogeneous records, one set describes the object's interface and the other describes its implementation. Thus a reasonable starting point for modeling design objects is to begin with the concept of molecular objects. In this paper, we identify modeling concepts that are fundamental to capturing the semantics of VLSI CAD design objects and versions in terms of molecular objects. A provisional set of user operations on design objects, consistent with these modeling concepts, is also defined. The modeling framework that we present has been found useful for investigating physical storage techniques and change notification problems in version control.

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Metadata

Authors
Batory, D. S., & Kim, W.
Venue
ACM Transactions on Database Systems
Published
1985-09
Volume
10
Issue
3
Pages
322-346
ISSN
  • 0362-5915 (ISSN-L)
  • 1557-4644
OpenAlex
W2023062025
Cited by
260
References
9
FWCI
41.73
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Modeling concepts for VLSI CAD objects. https://app.cochat.ai/papers/10.1145/3979.4018
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Batory, D. S., & Kim, W. (1985). Modeling concepts for VLSI CAD objects. ACM Transactions on Database Systems. https://doi.org/10.1145/3979.4018

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.