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A Cyclomatic Complexity Treemap showing hotspots

Detect code patterns that are prone to errors with HIS metrics in Understand by SciTools. See comment density for code readability, number of call levels for code complexity, or number of calling functions for refactorability. All metrics can be setup to run automatically so you can track your progress in real time.

A Cyclomatic Complexity Treemap showing hotspots

Metric Name

Description

Comment Density “COMF“

Relationship of the number of comments (outside of and within functions) to the number of statements

Number of paths “PATH“

Number of non cyclic remark paths (i.e. minimum number of necessary cases of test)

Number of Goto Statements “GOTO“

Number of Goto Statements

Cyclomatic Complexity “v(G)“

In accordance with the Cyclomatic Number (McCabe Cyclomatic Complexity)

Number of Calling Functions “CALLING“

By how many subfunctions is this function called

Number of called functions “CALLS“

How many different functions does this function call

Number of Function Parameters “PARAM“

How complex is the function interface

Number of Instructions per function “STMT“

How complex is the function

Number of call Levels “LEVEL“

Depth of nesting of a function

Number of return points “RETURN“

Number of return points within a function

The stability index “S“

The stability index supplies a measure of the number of the changes (changes, deletions, additions) between two versions of a piece of software

Language scope “VOCF“

The language scope is an indicator of the cost of maintaining/changing functions

“NOMV“

Number of MISRA HIS Subset violations

“NOMVPR“

Number of MISRA violations per rule

Number of recursions “ap_cg_cycle“

Call graph recursions

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See all metrics**Chris Rhodes**, Senior Software Engineer

Dell Inc.