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Kees Lepoeter

dblp:317/6508 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1996
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 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 · 67% Distributed systems · 33%

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

TopicWeightPapersLastEvidence papers
Electronic design automation
CAD framework
0.011996
Managing design data: the five dimensions of CAD frameworks, configuration management, and product data management · Proc. IEEE 1996
Distributed systems › service-oriented architecture › service management
configuration management
0.011996
Managing design data: the five dimensions of CAD frameworks, configuration management, and product data management · Proc. IEEE 1996
Electronic design automation
design data management
0.011996
Managing design data: the five dimensions of CAD frameworks, configuration management, and product data management · Proc. IEEE 1996
YearPublicationVenuePosition
1996 Managing design data: the five dimensions of CAD frameworks, configuration management, and product data management
abstract
With the increasing complexity of designs, Design Data Management is regarded as a key enabling technology to achieve higher efficiency in the development of complex products. However, this technology has proven to be surprisingly complex. Commercial solutions in the area of CAD Frameworks, Product Data Management, and Configuration Management Systems currently only solve parts of the total problem, and the acceptance of these systems in industry is still relatively low. In this paper, a model is presented which can be used as a frame of reference for the general problem of managing design data. The model distinguishes between five orthogonal dimensions, which are each, when considered separately, quite simple. In practice, however, two or more dimensions must be handled simultaneously to solve real-world problems. This turns out to be nontrivial because multiple fundamentally different solutions exist for each combination of two or more dimensions. We believe that this 5-D frame of reference can contribute to the creation of better quality solutions in the area of Design Data Management. The 5-D model can also help to explain the familiar phenomenon that a solution which has, for example, proven to be adequate for software development may be rejected by integrated circuit designers, and vice versa.
Peter van den Hamer, Kees Lepoeter
Proc. IEEE2