Cadence® system design and verification solutions, integrated under our System Development Suite, provide the simulation, acceleration, emulation, and management capabilities.
System Development Suite Related Products A-Z
Cadence® digital design and signoff solutions provide a fast path to design closure and better predictability, helping you meet your power, performance, and area (PPA) targets.
Full-Flow Digital Solution Related Products A-Z
Cadence® custom, analog, and RF design solutions can help you save time by automating many routine tasks, from block-level and mixed-signal simulation to routing and library characterization.
Overview Related Products A-Z
Driving efficiency and accuracy in advanced packaging, system planning, and multi-fabric interoperability, Cadence® package implementation products deliver the automation and accuracy.
Cadence® PCB design solutions enable shorter, more predictable design cycles with greater integration of component design and system-level simulation for a constraint-driven flow.
An open IP platform for you to customize your app-driven SoC design.
Comprehensive solutions and methodologies.
Helping you meet your broader business goals.
A global customer support infrastructure with around-the-clock help.
24/7 Support - Cadence Online Support
Locate the latest software updates, service request, technical documentation, solutions and more in your personalized environment.
Cadence offers various software services for download. This page describes our offerings, including the Allegro FREE Physical Viewer.
Get the most out of your investment in Cadence technologies through a wide range of training offerings.
This course combines our Allegro PCB Editor Basic Techniques, followed by Allegro PCB Editor Intermediate Techniques.
Virtuoso Analog Design Environment Verifier 16.7
Learn learn to perform requirements-driven analog verification using the Virtuoso ADE Verifier tool.
Exchange ideas, news, technical information, and best practices.
The community is open to everyone, and to provide the most value, we require participants to follow our Community Guidelines that facilitate a quality exchange of ideas and information.
It's not all about the technlogy. Here we exchange ideas on the Cadence Academic Network and other subjects of general interest.
Cadence is a leading provider of system design tools, software, IP, and services.
I am stil quite a newbie at this, so I apologize if I'm asking a silly question.
As I'm developing more and more skill code functions, I'm finding that trying to ensure that each individual function remains working as expected is becoming more and more difficult. The obvious solution is to implement some sort of regression testing. Unfortunately, when doing a web search I can't find any relevant system for skill code.
Has anyone out there implemented such a system? Is there any software that exists to aid in this?
It depends what "working as exepcted" means.
If you are looking only for return values you can do like this:
create a script which calls al your functions and saves the associated return values in a text file.
run that script from virtuoso , using load()... save the output.txt file in something like golden_image.txt.
Keep a copy of of your CDS.log file .
Letter when you have modified the functions, you just have to run
virtuoso -replay CDS.log
then you have to compare output.txt with golden_image.txt
If output means something more complex (e.g. create/modify cells, etc, etc) then you must do a diff like of the golden_output and the output of the last run.
anyway to automate the jobs you may want to use "virtuoso -replay", eventually "virtuoso -nograph -reply ..." to not splash the windows al over the screen .
In reply to marcelpreda:
You could also use functions like assert() in some test code to ensure that functions are returning what you expect - effectively design a set of unit tests.
In reply to Andrew Beckett:
@Marcel, Yes, I had thought of doing something like that. I was just curious as to whether something else existed out there.
@Andrew, Thanks! I was unaware of the assert function, This should allow me to do what I had in mind.
I think that with the assert() statements and the method mentioned by Marcel, a simple regression environment should be possible to create.