Collaborative modeling environment

• US 8,745,026 B1
• Filed: 07/18/2011
• Issued: 06/03/2014
• Est. Priority Date: 03/16/2007
• Status: Active Grant

• Current Assignee: The MathWorks, Inc.
• Original Assignee: The MathWorks, Inc.
• Inventors: Mosterman, Pieter J., Abizeid, Farid Antoine, Simsek, Hidayet T., Wey, Claudia Gaudagnini, Shakeri, Mojdeh, Torgerson, Jay Ryan
• Primary Examiner(s): Woo, Isaac M
• Assistant Examiner(s): Hershley, Mark E
• Application Number:
  US13/185,318
• Time in Patent Office: 1,051 Days
• Field of Search: 707/708, 707/737, 707/741, 707/754, 707/755
• US Class Current: 707/708
• CPC Class Codes: G06F 16/2457 with adaptation to user needs
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9538 Presentation of query results

Abstract

A system may receive a model, extract information from the model, form a group of tags using the extracted information, and associate the group of tags with the model. The system may further receive a search query including one or more sequences of characters and determine whether to provide the model in a list of models created for the search query, based on the one or more sequences of characters and the group of tags.

Claims

1. A non-transitory computer-readable medium storing instructions, the instructions comprising:

one or more instructions which, when executed by at least one processor, cause the at least one processor to;

receive a model from a user device,

the received model including information relating to a computation,

the information relating to the computation being included in a file that includes information for executing the model,

the file including one or more parameter files;

execute the received model;

obtain information for the received model based on executing the received model;

create tags using the obtained information,

the obtained information, used to create the tags, including;

information identifying a number of input ports for the received model,

information identifying a number of output ports for the received model,

information indicating a complexity of the received model, and

at least one of;

 

information identifying one or more characteristics of the input ports, or

 

information identifying one or more characteristics of the output ports;

associate the created tags with the file to make the model available to users searching for models;

perform a search for the model,

the search being performed using one or more of the created tags; and

provide, based on performing the search, information identifying the received model for display to a user,

the information identifying the received model including;

the information identifying the number of input ports for the received model,

the information identifying the number of output ports for the received model,

the information indicating the complexity of the received model, and

at least one of;

 

the information identifying the one or more characteristics of the input ports, or

 

the information identifying the one or more characteristics of the output ports.

2. The non-transitory computer-readable medium of claim 1, where the instructions further comprise:

one or more instructions to provide a notification to the user device when the received model does not execute properly.

3. A non-transitory computer-readable medium storing instructions, the instructions comprising:

one or more instructions which, when executed by at least one processor, cause the at least one processor to;

receive a model from a user device,

the model including information relating to a computation,

the information relating to the computation being included in a file that includes information for executing the model,

 

the file including one or more parameter files;

obtain information for the model,

the obtained information including;

information identifying a number of input ports for the model,

information identifying a number of output ports for the model,

information indicating a complexity of the model, and

at least one of;

 

information indicating whether the model uses continuous time integration or discrete time integration,

 

annotations added to the model, or

 

review information about an author of the model;

associate the obtained information with the file to make the model available for searching;

perform a search, using the obtained information, to identify information identifying the model; and

provide the information identifying the model for display to a user,

the information identifying the model including the obtained information.

4. The non-transitory computer-readable medium of claim 3, where the obtained information further includes at least one of:

information identifying one or more characteristics of the input ports,

information identifying one or more characteristics of the output ports,

information indicating whether the model is self-contained,

information identifying a number of warnings that an editing style is violated,

information identifying a number of subsystems within the model,

information identifying a number of charts in the model,

information identifying a number of discrete states in the model,

information indicating whether the model adheres to one or more modeling standards, or

information indicating whether an editing style is violated.

5. The non-transitory computer-readable medium of claim 3, where the one or more instructions to obtain the information include at least one of:

one or more instructions to interpret the model to obtain the information,

one or more instructions to receive the information from a user, or

one or more instructions to receive the information from a model creation environment.

6. The non-transitory computer-readable medium of claim 3, where the instructions further comprise:

one or more instructions to receive rating information for the model;

one or more instructions to determine a rating based on the rating information;

one or more instructions to associate the determined rating with the model; and

one or more instructions to provide the determined rating with the information identifying the model for display to the user.

7. The non-transitory computer-readable medium of claim 3, where the instructions further comprise:

one or more instructions to receive a review of the model;

one or more instructions to associate the review with the model; and

one or more instructions to provide the review with the information identifying the model for display to the user.

8. The non-transitory computer-readable medium of claim 7, where the review is received from a model creation environment.

9. The non-transitory computer-readable medium of claim 3, where the instructions further comprise:

one or more instructions to create tags based on the obtained information; and

one or more instructions to store the model and the tags in a database,

the database including a plurality of other models and a plurality of other tags created for the plurality of other models.

10. The non-transitory computer-readable medium of claim 9, where the one or more instructions to perform the search comprise:

one or more instructions to form a list of models based on the search query and by accessing the database; and

one or more instructions to provide the list of models.

11. The non-transitory computer-readable medium of claim 9, where the instructions further comprise:

one or more instructions to forward the model for peer review prior to storing the model and the tags in the database,

where the one or more instructions to store the model and the tags in the database include one or more instructions to store in the database;

the model,

the tags, and

information from the peer review.

12. The non-transitory computer-readable medium of claim 3, where the instructions further comprise:

one or more instructions to create tags based on the obtained information; and

one or more instructions to store a link to the model and the tags in a database,

the database including a plurality of other links to other models and a plurality of other tags created for the other models.

13. The non-transitory computer-readable medium of claim 3, where the instructions further comprise:

one or more instructions to receive the one or more parameter files for the model; and

one or more instructions to store the model and the one or more parameter files as one of the file, a single archive, or a group file.

14. A method comprising:

receiving a model,

the model including information relating to a computation,

the information relating to the computation being included in a file that includes information for executing the model,

the file including one or more parameter files;

identifying information about the model based on information obtained from executing the model;

creating tags for the model using the identified information,

the identified information, used to create the tags, including;

information regarding one or more input ports for the model,

information regarding one or more output ports for the model,

information indicating a complexity of the model, and

at least one of;

information indicating whether the model uses continuous time integration or discrete time integration,

annotations added to the model, or

review information about an author of the model;

associating the created tags with the model for model searching;

performing a search using one or more of the created tags; and

displaying, based on performing the search, to the user;

the information regarding the one or more input ports for the model,

the information regarding the one or more output ports for the model,

the information indicating the complexity of the model, and

at least one of;

the information indicating whether the model uses continuous time integration or discrete time integration,

the annotations added to the model, or

the review information about the author of the model,

the receiving, the identifying, the creating, the associating, the performing, and the displaying being performed by a computing device.

15. The method of claim 14, where the model is received from a user device,

the method further comprising:

sending a notification to the user device when the received model does not execute properly,

the notification indicating that the received model does not execute properly.

16. A method comprising:

receiving a model,

the model including information relating to a computation,

the information relating to the computation being included in a file that includes information for executing the model,

the file including one or more parameter files;

identifying information about the model,

identifying the information about the model including interpreting the model to identify the information about the model,

the identified information including;

information identifying a number of input ports for the model,

information identifying a number of output ports for the model,

information indicating a complexity of the model, and

at least one of;

information indicating whether the model uses continuous time integration or discrete time integration,

information indicating whether the model is self-contained,

information identifying a number of charts in the model,

information identifying a number of discrete states in the model,

annotations added to the model, or

review information about an author of the model;

displaying the identified information to a user when the user requests the identified information;

associating the identified information with the model to make the model available for model searching; and

performing a search for the model using the identified information,

the receiving, the identifying, the displaying, the associating, and the performing being performed by a computing device.

17. The method of claim 16, where the identified information further includes at least one of:

information identifying one or more characteristics of the input ports,

information identifying one or more characteristics of the output ports,

information indicating whether the model is self-contained,

information identifying a number of warnings that an editing style is violated,

information identifying a number of subsystems within the model,

information identifying a number of charts in the model,

information identifying a number of discrete states in the model,

information indicating whether the model adheres to one or more modeling standards, or

information indicating whether an editing style is violated.

18. The method of claim 16, where identifying the information further includes at least one of:

receiving the information from a second user, or

receiving the information from a model creation environment.

19. The method of claim 16, further comprising:

creating tags for the model using the identified information,

where performing the search for the model includes performing a model search by relating a sequence of characters in a search query to the tags.

20. The method of claim 16, further comprising:

receiving rating information for the model;

determining a rating based on the rating information; and

associating the determined rating with the model.

21. The method of claim 16, further comprising:

receiving a review of the model; and

associating the review with the model.

22. A system comprising:

at least one device to;

receive a model,

the model including information relating to a computation,

the information relating to the computation being included in a file that includes information for executing the model,

the file including one or more parameter files,

execute the model,

obtain information for the received model by executing the model,

form tags using the obtained information,

the obtained information, used to form the tags, including;

information identifying one or more input ports for the model,

information identifying one or more output ports for the model,

information indicating a complexity of the model, and

at least one of;

 

annotations added to the model,

 

review information about an author of the model, or

 

information identifying a version of software that was used to create the model,

associate the formed tags with the model to make the model available for searching,

perform a search using one or more of the formed tags, and

provide the obtained information, for display, as a result of performing the search.

23. The system of claim 22, where the obtained information further includes a plurality of:

information identifying a number of warnings that an editing style is violated,

information identifying a number of the one or more input ports for the model,

information identifying one or more characteristics of the one or more input ports,

information identifying a number of the one or more output ports for the model,

information identifying one or more characteristics of the one or more output ports,

information indicating whether the model uses continuous time integration or discrete time integration,

information indicating whether the model is self-contained,

information identifying a number of subsystems within the model,

information indicating whether the model adheres to one or more modeling standards,

information identifying a product or products on which the model relies,

information identifying a number of charts in the model, or

information identifying a number of discrete states in the model.

24. A system comprising:

at least one device to;

receive a model,

the model including information relating to a computation,

the information relating to the computation being included in a file that includes information for executing the model,

the file including one or more parameter files,

obtain information for the received model,

when obtaining the information for the received model, the at least one device is to analyze the model to obtain the information for the received model,

the obtained information including;

information identifying a number of input ports for the model,

information identifying a number of output ports for the model,

information indicating a complexity of the model, and

at least one of;

 

information indicating whether the model uses continuous time integration or discrete time integration,

 

information indicating whether the model is self-contained,

 

information identifying a number of charts in the model,

 

information identifying a number of discrete states in the model,

 

annotations added to the model, or

 

review information about an author of the model,

create tags for the model based on the obtained information,

display the created tags, created based on the obtained information, to a user when the created tags are requested by the user,

associate the created tags with the model to make the model available for searching, and

perform a search, using one or more of the created tags, to identify the model.

25. The system of claim 24, where the obtained information further includes at least one of:

information identifying one or more characteristics of the input ports for the model,

information identifying one or more characteristics of the output ports for the model,

information identifying a number of warnings that an editing style is violated,

information indicating whether the model is self-contained,

information identifying a product or products on which the model relies,

information indicating whether the model adheres to one or more modeling standards,

information identifying a number of subsystems within the model, or

information indicating whether an editing style is violated.

26. The system of claim 24, where, when obtaining the information, the at least one device is further to at least one of:

receive the obtained information from the user, or

receive the obtained information from a model creation environment.

27. The system of claim 24, where the model includes at least one model file and one more dependency files, and

where the at least one device is further to:

create tags for the model based on the obtained information,

group the model file and the one or more dependency files together to form a bundle, and

associate the created tags with the bundle to make the model available to users searching for models.

28. A non-transitory computer-readable medium storing instructions, the instructions comprising:

one or more instructions which, when executed by at least one processor, cause the at least one processor to;

receive a model,

the model including information relating to a computation,

the information relating to the computation being included in a file that includes information for executing the model,

the file including one or more parameter files;

extract information from the model based on execution of the model;

form a plurality of tags using the extracted information,

the extracted information, used to form the plurality of tags, including;

information identifying one or more input ports for the model,

information identifying one or more output ports for the model,

information indicating a complexity of the model, and

at least one of;

 

annotations added to the model,

 

review information about an author of the model, or

 

information identifying a version of software that was used to create the model;

associate the plurality of tags with the model;

receive a search query including one or more sequences of characters;

perform a search based on the one or more sequences of characters and the plurality of tags; and

determine whether to provide information identifying the model in a list of models created as a result of performing the search,

the information identifying the model including;

the information identifying the one or more input ports,

the information identifying the one or more output ports,

the information indicating the complexity of the model, and

at least one of;

 

the annotations added to the model,

 

the review information about the author of the model, or

 

the information identifying the version of software that was used to create the model.