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CAD/CAM/CAE : electronic design automation, 1992 - Archive Server

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3-2 <strong>CAD</strong>/CAIW<strong>CAE</strong>—Electronic Design Automation Applications<br />

distribution of responses. Survey results showed that <strong>design</strong> groups<br />

may consist of 1 to more than 50 engineers. Figure 3-4 shows mean<br />

number of engineers per project for a variety of application areas<br />

represented geographically. Of particular note to EDA vendors, larger<br />

<strong>design</strong> groups will require increasingly more sophisticated <strong>design</strong><br />

management and revision control tools in the future. Areas of opportunity<br />

exist in the large communications and data processing companies,<br />

as they tend to have larger <strong>design</strong> teams. Examining the data<br />

geographically. North American <strong>design</strong> teams consistently have a<br />

larger mean number of engineers, reflecting the increased complexity<br />

of <strong>design</strong>s developed. Dataquest anticipates that the consumption of<br />

<strong>design</strong> management and revision control tools will be led by<br />

Nortti America for the foreseeable future.<br />

To determine the makeup of a typical <strong>electronic</strong> <strong>design</strong> team. Dataquest<br />

asked users what categories of engineers were applied to a<br />

<strong>design</strong> project. Figures 3-5, 3-6, and 3-7 show the results of this question,<br />

in total number of responses. This information may be used as a<br />

gauge of the relative magnitude of the population of each type of<br />

engineer. For example, it would be safe to say that worldwide, there<br />

are more digital <strong>design</strong>ers than any other type of engineer. Additionally,<br />

a significant number of engineers call themselves system<br />

architects. It is important to note that these are users' perceptions, and<br />

that the term "system architect" may be open for individual<br />

interpretation.<br />

The Design Process<br />

To better understand the <strong>design</strong> process, Dataquest investigated the<br />

percentage of time spent in each of the major categories of <strong>electronic</strong><br />

<strong>design</strong>. Dataquest split the <strong>design</strong> process into the following areas<br />

(discussed in greater detail later in this chapter):<br />

• Specification, definition of <strong>design</strong>, and system partitioning<br />

• Logic <strong>design</strong> and verification<br />

• Design for test and test vector development<br />

• Systems integration and verification<br />

• Prototype debugging<br />

The Design Wedge<br />

As shown in Figure 3-8, the <strong>design</strong> process may be thought of as a<br />

three-dimensional wedge, with the x-axis representing <strong>design</strong> time,<br />

the y-axis representing <strong>design</strong> errors uncovered, and the z-axis<br />

representing the <strong>design</strong> implementation flexibility. At the very first<br />

stage of the <strong>design</strong> process, specification and definition, the project<br />

team has the greatest amount of flexibility and uncovers a large<br />

share of potential <strong>design</strong> problems. As the team moves down the<br />

<strong>design</strong> process, the flexibility and amount of "what-if" analysis<br />

begins to decrease. Additionally, the majority of glaring errors of<br />

the <strong>design</strong> are uncovered and resolved. As one travels along the<br />

x-axis, the number of <strong>design</strong> errors uncovered decrease; however,<br />

more time is spent in identifying and resolving these bugs. The<br />

November 30, <strong>1992</strong> ©<strong>1992</strong> Dataquest Incxirporated C<strong>CAM</strong>-EDA-UW-9201

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