Facilitating use of techniques implemented by external library functions in process definitions of analytical applications

• US 9,507,567 B2
• Filed: 01/29/2015
• Issued: 11/29/2016
• Est. Priority Date: 09/09/2014
• Status: Active Grant

• Current Assignee: Oracle Financial Services Software Limited (Oracle Corporation)
• Original Assignee: Oracle Financial Services Software Limited (Oracle Corporation)
• Inventors: Vadapandeshwara, Rajaram Narasimha, Goyal, Manu, Singh, Suresh Bahadur
• Primary Examiner(s): Bullock, Jr., Lewis A
• Assistant Examiner(s): HEBERT, THEODORE E
• Application Number:
  US14/608,204
• Publication Number:
  US 20160070542A1
• Time in Patent Office: 670 Days
• Field of Search: 717/163
• US Class Current: 1/1
• CPC Class Codes: G06F 8/22 Procedural
• CPC Class Codes: G06F 8/34 Graphical or visual programming
• CPC Class Codes: G06F 8/35 model driven
• CPC Class Codes: G06F 8/36 Software reuse
• CPC Class Codes: G06F 8/70 Software maintenance or management

Abstract

An aspect of the present disclosure provides a server system which facilitates use of techniques implemented by external library functions in the process definitions of analytical applications. In an embodiment, a definitions block enables users to develop process definitions as basis for corresponding user applications, with each process definition incorporating a corresponding set of techniques. The definitions block requires metadata corresponding to each technique to be present in registration data prior to permitting incorporation of the technique in process definitions. Accordingly an importation block is provided which facilitates a user to register an external technique implemented by a function of an external library to cause meta data corresponding to the external technique to be added to said registration data. As a result, the external technique can thereafter be used in development of new process definitions.

Claims

1. A method of using techniques implemented by functions of external libraries, said method being implemented in a digital processing system, said method comprising:

receiving identification of a function of an external library from a developer, wherein said function implements a technique, said function being invocable using an interface definition;

auto-detecting a set of parameters in said interface definition of said function;

receiving parameter information from a user, said parameter information indicating that a first parameter of said set of parameters is of an input type and would be required to be configured during model definition;

registering said technique along with said set of parameters and said parameter information;

facilitating during said model definition, a user to form a model by associating each of said set of parameters with a corresponding value or a corresponding data element from a data store, wherein said user is required to provide a value or a data element for said first parameter in view of said parameter information indicating that said first parameter is of said input type and would be configured during said model definition;

incorporating the model into a process definition; and

executing said process definition to cause execution of said function of said external library with the corresponding values associated by said user or values of corresponding associated data elements from said data store for respective parameters in said interface definition.

2. The method of claim 1, wherein said auto-detecting also detects parameter information corresponding to each of said set of parameters, wherein said parameter information contains a name of said parameter and a type of said parameter.

3. The method of claim 2, wherein said auto-detecting comprises examining a program file to detect said set of parameters and corresponding parameter information.

4. The method of claim 3, wherein said method further comprises:

providing a user interface to display the detected parameter information; and

accepting supplemental parameter information provided by the user via said user interface, wherein said supplemental parameter information contains errors or omissions in the auto-detected parameter information,

said detected parameter information, supplemented by said supplemental parameter information, defining a finalized parameter information,

wherein said finalized parameter information is used in said forming of said model.

5. The method of claim 1, wherein the facilitating step comprises:

receiving input from a user identifying said data store as a data source;

displaying a set of variables provided by said data source, each of said set of variables corresponding to a respective data element in said data store; and

enabling said user to associate one of said set of variables to one of said set of parameters.

6. A digital processing system comprising:

one or more processing units; and

a random access memory (RAM) to store instructions,

wherein said one or more processing units retrieve said instructions and execute said instructions, wherein execution of said instructions causes said digital processing system to perform the actions of;

receiving identification of a function of an external library from a developer, wherein said function implements a technique, said function being invocable using an interface definition;

auto-detecting a set of parameters in said interface definition of said function;

receiving parameter information from a user, said parameter information indicating that a first parameter of said set of parameters is of an input type and would be required to be configured during model definition;

registering said technique along with said set of parameters and said parameter information;

facilitating during said model definition, a user to form a model by associating each of said set of parameters with a corresponding value or a corresponding data element from a data store, wherein said user is required to provide a value or a data element for said first parameter in view of said parameter information indicating that said first parameter is of said input type and would be configured during said model definition;

incorporating the model into a process definition; and

executing said process definition to cause execution of said function of said external library with the corresponding values associated by said user or values of corresponding associated data elements from said data store for respective parameters in said interface definition.

7. The digital processing system of claim 6, wherein said auto-detecting also detects parameter information corresponding to each of said set of parameters, wherein said parameter information contains a name of said parameter and a type of said parameter.

8. The digital processing system of claim 7, wherein said auto-detecting comprises examining a program file to detect said set of parameters and corresponding parameter information.

9. The digital processing system of claim 8, wherein the actions further comprise:

providing a user interface to display the detected parameter information; and

accepting supplemental parameter information provided by the user via said user interface, wherein said supplemental parameter information contains errors or omissions in the auto-detected parameter information,

said detected parameter information, supplemented by said supplemental parameter information, defining a finalized parameter information,

wherein said finalized parameter information is used in said forming of said model.

10. The digital processing system of claim 6, wherein for said facilitating, said digital processing system performs the actions of:

receiving input from a user identifying said data store as a data source;

displaying a set of variables provided by said data source, each of said set of variables corresponding to a respective data element in said data store; and

enabling said user to associate one of said set of variables to one of said set of parameters.

11. The digital processing system of claim 6, wherein said memory stores a registration data, wherein metadata corresponding to each technique is required to be present in said registration data prior to incorporation of the corresponding technique into process definitions, wherein said registering comprises adding to said registration data, metadata corresponding to said technique.

12. A non-transitory machine readable medium storing one or more sequences of instructions for enabling a system to use techniques implemented by functions of external libraries, wherein execution of said one or more instructions by one or more processors contained in said system enables said system to perform the actions of:

receiving identification of a function of an external library from a developer, wherein said function implements a technique, said function being invocable using an interface definition;

auto-detecting a set of parameters in said interface definition of said function;

receiving parameter information from a user, said parameter information indicating that a first parameter of said set of parameters is of an input type and would be required to be configured during model definition;

registering said technique along with said set of parameters and said parameter information;

facilitating during said model definition, a user to form a model by associating each of said set of parameters with a corresponding value or a corresponding data element from a data store, wherein said user is required to provide a value or a data element for said first parameter in view of said parameter information indicating that said first parameter is of said input type and would be configured during said model definition;

incorporating the model into a process definition; and

executing said process definition to cause execution of said function of said external library with the corresponding values associated by said user or values of corresponding associated data elements from said data store for respective parameters in said interface definition.

13. The non-transitory machine readable medium of claim 12, wherein said auto-detecting also detects parameter information corresponding to each of said set of parameters, wherein said parameter information contains a name of said parameter and a type of said parameter.

14. The non-transitory machine readable medium of claim 13, wherein said auto-detecting comprises examining a program file to detect said set of parameters and corresponding parameter information.

15. The non-transitory machine readable medium of claim 14, wherein said second set of instructions further comprising instructions for:

providing a user interface to display the detected parameter information; and

accepting supplemental parameter information provided by the user via said user interface, wherein said supplemental parameter information contains errors or omissions in the auto-detected parameter information,

said detected parameter information, supplemented by said supplemental parameter information, defining a finalized parameter information,

wherein said finalized parameter information is used in said forming of said model.

16. The non-transitory machine readable medium of claim 12, wherein said facilitating further comprises:

receiving input from a user identifying said data store as a data source;

displaying a set of variables provided by said data source, each of said set of variables corresponding to a respective data element in said data store; and

enabling said user to associate one of said set of variables to one of said set of parameters.