Method for classifying and correlating simulation components to functional models

1. A method for classifying and correlating simulation components to functional models, the method performed by a data processing system and comprising:

receiving a simulation component library comprising a plurality of simulation components into a memory of the data processing system;

parsing the plurality of simulation components from the simulation component library;

analyzing a plurality of extracted functions into a plurality of function graphs for each of the plurality of simulation components, wherein the plurality of extracted functions includes one or more of a plurality of interface-derived functions, a plurality of structural-derived functions, a plurality of equation-derived functions, a plurality of algorithmic-derived functions, a plurality of parameter-derived functions, and a plurality of internal variable-derived functions, and wherein the plurality of function graphs includes one or more of an interface function graph, a structural function graph, an equation function graph, an algorithmic function graph, a parameter function graph, and an internal variable function graph;

composing an extracted functions graph with the plurality of extracted functions of the plurality of function graphs; and

storing the extracted functions graph of the plurality of extracted functions in a components-to-function database.

2. The method of claim 1 , wherein analyzing the plurality of extracted functions into the plurality of function graphs comprises:

performing an interface analysis for each of a plurality of ports in a simulation component to determine the plurality of interface-derived functions in the interface function graph;

performing a structural analysis for each of a plurality of simulation sub-components in the simulation component to determine the plurality of structural-derived functions in the structural function graph;

performing an equation-algorithmic analysis for each of a plurality of equations and a plurality of algorithms in the simulation component to determine the plurality of equation-derived functions in the equation function graph and the plurality of algorithmic-derived functions in the algorithmic function graph;

performing a parameter analysis for each of a plurality of parameters in the simulation component to determine the plurality of parameter-derived functions in the parameter function graph; and

performing an internal variable analysis for each of a plurality of internal variables in the simulation component to determine the plurality of internal variable-derived functions in the internal variable function graph.

3. The method of claim 2 , wherein performing the interface analysis comprises:

parsing a port type from a port of the simulation component;

storing the port type in the memory;

expanding a combinatorial space of the port type in the memory;

assigning the plurality of interface-derived functions to the combinatorial space; and

appending the plurality of interface-derived functions to the interface function graph.

4. The method of claim 2 , wherein performing the structural analysis comprises:

extracting the plurality of structural-derived functions of a plurality of sub-component port types by performing an interface analysis on the simulation sub-component; and

appending the plurality of structural-derived functions to the structural function graph.

5. The method of claim 2 , wherein performing the equation-algorithmic analysis comprises:

parsing a plurality of equation state variables from an equation and a plurality of algorithmic state variables from an algorithm;

performing a dataflow analysis on the plurality of equation state variables of the plurality of equations to determine the plurality of equation-derived functions and a dataflow analysis on the plurality of algorithmic state variables of the plurality of algorithms to determine the plurality of algorithmic-derived functions; and

appending the plurality of equation-derived functions to the equation function graph and the plurality of algorithmic-derived functions to the algorithmic function graph.

6. The method of claim 2 , wherein performing the parameter analysis comprises:

parsing a parameter type and a parameter value from a parameter;

extracting a plurality of port types from the interface analysis of the simulation component;

extracting a plurality of sub-component port types from the structural analysis of the simulation component;

extracting a plurality of equation state variables and a plurality of algorithmic state variables from the equation-algorithmic analysis of the simulation component;

determining the plurality of parameter-derived functions based on a relationship of the parameter type and the parameter value with the plurality of port types, the plurality of sub-component port types, the plurality of equation state variables and the plurality of algorithmic state variables; and

appending the plurality of parameter-derived functions to the parameter function graph.

7. The method of claim 2 , further comprising:

receiving a 1D simulation that includes a plurality of simulation components from the simulation component library; and

producing an architecture model based on the extracted functions graph.

8. A data processing system comprising:

a processor; and

an accessible memory, the data processing system particularly configured to

receive a simulation component library comprising a plurality of simulation components into the accessible memory of the data processing system;

parse the plurality of simulation components from the simulation component library;

analyze a plurality of extracted functions into a plurality of function graphs for each of the plurality of simulation components, wherein the plurality of extracted functions includes one or more of a plurality of interface-derived functions, a plurality of structural-derived functions, a plurality of equation-derived functions, a plurality of algorithmic-derived functions, a plurality of parameter-derived functions, and a plurality of internal variable-derived functions, and wherein the plurality of function graphs includes one or more of an interface function graph, a structural function graph, an equation function graph, an algorithmic function graph, a parameter function graph, and an internal variable function graph;

compose an extracted functions graph with the plurality of extracted functions of the plurality of function graphs; and

store the extracted functions graph of the plurality of extracted functions in a components-to-function database.

9. The data processing system of claim 8 , wherein to analyze the plurality of extracted functions into the plurality of function graphs comprises:

perform an interface analysis for each of a plurality of ports in a simulation component to determine the plurality of interface-derived functions in the interface function graph;

perform a structural analysis for each of a plurality of simulation sub-components in the simulation component to determine the plurality of structural-derived functions in the structural function graph;

perform an equation-algorithmic analysis for each of a plurality of equations and a plurality of algorithms in the simulation component to determine the plurality of equation-derived functions in the equation function graph and the plurality of algorithmic-derived functions in the algorithmic function graph;

perform a parameter analysis for each of a plurality of parameters in the simulation component to determine the plurality of parameter-derived functions in the parameter function graph; and

perform an internal variable analysis for each of a plurality of internal variables in the simulation component to determine the plurality of internal variable-derived functions in the internal variable function graph.

10. The data processing system of claim 9 , wherein to perform the interface analysis comprises:

parse a port type from a port of the simulation component;

store the port type in the accessible memory;

expand a combinatorial space of the port type in the accessible memory;

assign the plurality of interface-derived functions to the combinatorial space; and

append the plurality of interface-derived functions to the interface function graph.

11. The data processing system of claim 9 , wherein performing the structural analysis comprises:

extract the plurality of structural-derived functions of a plurality of sub-component port types by performing an interface analysis on the simulation sub-component; and

append the plurality of structural-derived functions to the structural function graph.

12. The data processing system of claim 9 , wherein performing the equation-algorithmic analysis comprises:

parse a plurality of equation state variables from an equation and a plurality of algorithmic state variables from an algorithm;

perform a dataflow analysis on the plurality of equation state variables of the plurality of equations to determine the plurality of equation-derived functions and a dataflow analysis on the plurality of algorithmic state variables of the plurality of algorithms to determine the plurality of algorithmic-derived functions; and

append the plurality of equation-derived functions to the equation function graph and the plurality of algorithmic-derived functions to the algorithmic function graph.

13. The data processing system of claim 9 , wherein to perform the parameter analysis comprises:

parse a parameter type and a parameter value from a parameter;

extract a plurality of port types from the interface analysis of the simulation component;

extract a plurality of sub-component port types from the structural analysis of the simulation component;

extract a plurality of equation state variables and a plurality of algorithmic state variables from the equation-algorithmic analysis of the simulation component;

determine the plurality of parameter-derived functions based on a relationship of the parameter type and the parameter value with the plurality of port types, the plurality of sub-component port types, the plurality of equation state variables and the plurality of algorithmic state variables; and

append the plurality of parameter-derived functions to the parameter function graph.

14. The data processing system of claim 9 , further comprising:

receive a 1D simulation that includes a plurality of simulation components from the simulation component library; and

produce an architecture model based on the extracted functions graph.

15. A non-transitory computer-readable medium encoded with executable instructions that, when executed, cause one or more data processing systems to:

receive a simulation component library comprising a plurality of simulation components into a memory of the one or more data processing system;

parse the plurality of simulation components from the simulation component library;

analyze a plurality of extracted functions into a plurality of function graphs for each of the plurality of simulation components, wherein the plurality of extracted functions includes one or more of a plurality of interface-derived functions, a plurality of structural-derived functions, a plurality of equation-derived functions, a plurality of algorithmic-derived functions, a plurality of parameter-derived functions, and a plurality of internal variable-derived functions, and wherein the plurality of function graphs includes one or more of an interface function graph, a structural function graph, an equation function graph, an algorithmic function graph, a parameter function graph, and an internal variable function graph;

compose an extracted functions graph with the plurality of extracted functions of the plurality of function graphs; and

store the extracted functions graph of the plurality of extracted functions in a components-to-function database.

16. The computer-readable medium of claim 15 , wherein to analyze the plurality of extracted functions into the plurality of function graphs comprises:

perform an interface analysis for each of a plurality of ports in a simulation component to determine the plurality of interface-derived functions in the interface function graph;

perform a structural analysis for each of a plurality of simulation sub-components in the simulation component to determine the plurality of structural-derived functions in the structural function graph;

perform an equation-algorithmic analysis for each of a plurality of equations and a plurality of algorithms in the simulation component to determine the plurality of equation-derived functions in the equation function graph and the plurality of algorithmic-derived functions in the algorithmic function graph;

perform a parameter analysis for each of a plurality of parameters in the simulation component to determine the plurality of parameter-derived functions in the parameter function graph; and

perform an internal variable analysis for each of a plurality of internal variables in the simulation component to determine the plurality of internal variable-derived functions in the internal variable function graph.

17. The computer-readable medium of claim 16 , wherein to perform the interface analysis comprises:

parse a port type from a port of the simulation component;

store the port type in the memory;

expand a combinatorial space of the port type in the memory;

assign the plurality of interface-derived functions to the combinatorial space; and

append the plurality of interface-derived functions to the interface function graph.

18. The computer-readable medium of claim 16 , wherein performing the equation-algorithmic analysis comprises:

parse a plurality of equation state variables from an equation and a plurality of algorithmic state variables from an algorithm;

perform a dataflow analysis on the plurality of equation state variables of the plurality of equations to determine the plurality of equation-derived functions and a dataflow analysis on the plurality of algorithmic state variables of the plurality of algorithms to determine the plurality of algorithmic-derived functions; and

append the plurality of equation-derived functions to the equation function graph and the plurality of algorithmic-derived functions to the algorithmic function graph.

19. The computer-readable medium of claim 16 , wherein to perform the parameter analysis comprises:

parse a parameter type and a parameter value from a parameter;

extract a plurality of port types from the interface analysis of the simulation component;

extract a plurality of sub-component port types from the structural analysis of the simulation component;

extract a plurality of equation state variables and a plurality of algorithmic state variables from the equation-algorithmic analysis of the simulation component;

determine the plurality of parameter-derived functions based on a relationship of the parameter type and the parameter value with the plurality of port types, the plurality of sub-component port types, the plurality of equation state variables and the plurality of algorithmic state variables; and

append the plurality of parameter-derived functions to the parameter function graph.

20. The computer-readable medium of claim 16 , further comprising:

receive a 1D simulation that includes a plurality of simulation components from the simulation component library; and

produce an architecture model based on the extracted functions graph.