Code and Functional Coverage within a VHDL Test Environment
Code coverage is a measure of how well a set of code is exercised based on a set of tests or inputs. The simplest scheme of code coverage is at the function level. Functional coverage measures which functions were called and which functions were not called. While this is useful at a ver...
for driving analog nodes; Integrate reference models with various abstraction level; Sample analog nodes to monitor incoming traffic; Introduce assertions on analog nodes; Introduce analog code coverage and functional coverage; Introduce ... Nunn,Delguste,Khan 被引量: 5发表: 2011年 Design and Verific...
This example would enable block and expression coverage in every module except "fred", and instance "top.jim.dummy".You can get quite creative with this is you need to, and you really should read the user guide to get an understanding of what you're doing with these commands :-)If you...
It supports regression tests along with functional tests, where test cases are Junit-based. Official URL:JaCoCo Pros and cons: This is an open-source code coverage tool. It is bound for Java code coverage only. It gives good performance for large-scale Java projects at a minimum runtime. ...
Code coverage is a measure of how well the RTL code has been exercised by the test bench. Code coverage is automatically extracted by the simulator when enabled. Vivado Simulator currently supports four types of code coverage, that is, line, branch, cond
code coveragearchive over 18 years ago HiWe are using IUS 6.1 and URM for VIP development.Can i go for code coverage of the complete environment that i have developed?HOw do i do that?RegardsRishiOriginally posted in cdnusers.org by Tel1234...
Code coverage alone is not sufficient to ensure adequate test coverage. Other metrics, such as functional and branch coverage, are also important. Functional coverage measures the extent to which the tests cover the functional requirements of the software. It ensures that all the applicable conditions...
Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use cases including unit tests, server side functional tests
Code coverage for Ruby with a powerful configuration library and automatic merging of coverage across test suites - simplecov-ruby/simplecov