Dynamic provisioning of a set of tools based on project specifications

• US 10,338,892 B2
• Filed: 11/22/2016
• Issued: 07/02/2019
• Est. Priority Date: 11/22/2016
• Status: Active Grant

• Current Assignee: Accenture Global Solutions Limited (Accenture PLC)
• Original Assignee: Accenture Global Solutions Limited (Accenture PLC)
• Inventors: Puri, Manhar, Salgaonkar, Unmesh, Sawant, Nitin Madhukar
• Primary Examiner(s): Do, Chat C
• Assistant Examiner(s): Slachta, Douglas M
• Application Number:
  US15/358,721
• Publication Number:
  US 20180143808A1
• Time in Patent Office: 952 Days
• CPC Class Codes: G06F 8/20 Software design
• CPC Class Codes: G06F 8/30 Creation or generation of source code
• CPC Class Codes: G06F 8/61 Installation
• CPC Class Codes: G06F 9/44505 Configuring for program initiating, e.g. using registry, configuration files
• CPC Class Codes: G06Q 10/0631 Resource planning, allocation, distributing or scheduling for enterprises or organisations

Abstract

A device may receive project information that identifies a set of tools to be provisioned on multiple devices. The multiple devices may be used during a project. The device may process the project information to identify the set of tools based on receiving the project information. The set of tools may include different tools associated with different roles related to the project. The device may provide tool information related to installing or configuring the set of tools on the multiple devices based on processing the project information. The tool information provided to a first device of the multiple devices may relate to the first device and not to a second device of the multiple devices.

Claims

1. A device, comprising:

one or more memories; and

one or more processors, communicatively coupled to the one or more memories, to;

receive project information associated with a project,

the project information including information related to;

a set of specifications associated with the project, and

a set of descriptions associated with roles for the project;

process the project information to identify an attribute of the project based on receiving the project information,

the attribute of the project being identified based on at least one of;

natural language processing,

machine learning, or

artificial intelligence;

identify a first device used to develop at least one of software or an application;

identify a second device used to manage development of at least one of the software or the application;

identify a third device used to test at least one of the software or the application;

identify a set of tools to be provisioned on each of the first device, the second device, and the third device based on processing the project information,

each of the set of tools being associated with the set of specifications and the set of descriptions,

each of the set of tools being different for the first device, the second device, and the third device,

each of the set of tools being identified based upon a trained model,

the trained model being trained based on input from crowdsourcing;

receive, from the first device, the second device, and the third device, a request for the set of tools;

identify a set of scripts associated with the set of tools,

the set of scripts to obtain or configure the set of tools;

provide the set of scripts associated with the set of tools to the first device, the second device, and the third device based on the request; and

cause installation or configuration of the set of tools by executing the set of scripts on the first device, the second device, and the third device,

the installation or configuration of the set of tools to occur in parallel.

2. The device of claim 1, where the one or more processors are further to:

determine whether the set of tools depends on one or more other tools to be configured on the first device, the second device, and the third device; and

identify the one or more other tools based on determining whether the set of tools depends on the one or more other tools.

3. The device of claim 1, where the one or more processors, when identifying the set of tools, are to:

identify a first set of tools for a first role associated with the project; and

identify a second set of tools for a second role associated with the project,

the first role being different from the second role,

the first set of tools being different from the second set of tools.

4. The device of claim 1, where:

a first set of tools is associated with a first virtual environment of the device, and

a second set of tools is associated with a second virtual environment of the device.

5. The device of claim 1, where the one or more processors are further to:

utilize the attribute to train the trained model.

6. The device of claim 1, where the set of tools comprise:

a first tool to develop or create software or an application,

a second tool to maintain code versioning, code quality, or code deployment,

a third tool to develop a test script to test the software or the application,

a fourth tool to monitor health of the software or the application, or

a fifth tool to test a library.

7. The device of claim 1, where the set of tools include one or more libraries related to the project.

8. A method, comprising:

receiving, by a device, project information associated with a project,

the project information identifying an attribute of the project related to;

a specification of the project, or

a role associated with the project;

processing, by the device, the project information to identify the attribute of the project,

the attribute of the project being identified based on at least one of;

natural language processing,

machine learning, or

artificial intelligence;

identifying, by the device, a first device used to develop at least one of software or an application;

identifying, by the device, a second device used to manage development of at least one of the software or the application;

identifying, by the device, a third device used to test at least one of the software or the application;

identifying, by the device, one or more tools for each of the first device, the second device, and the third device based on identifying the attribute of the project,

each of the one or more tools being different for the first device, the second device, and the third device,

each of the one or more tools being identified based upon a trained model,

the trained model being trained based on input from crowdsourcing;

receiving, from the first device, the second device, and the third device, a request for the one or more tools for the first device, the second device, and the third device;

identifying, by the device, a set of scripts associated with the one or more tools, the set of scripts to obtain or configure the one or more tools;

providing, by the device, the set of scripts to permit the first device, the second device, and the third device to obtain or install the one or more tools; and

causing, by the device, installation or configuration of the one or more tools on the first device, the second device, and the third device by executing the set of scripts,

the installation or configuration to occur in parallel.

9. The method of claim 8, further comprising:

identifying additional tools associated with the one or more tools requested by the first device, the second device, and the third device;

determining whether the first device, the second device, and the third device have the additional tools based on identifying the additional tools; and

providing information associated with the additional tools to permit the first device, the second device, and the third device to obtain the additional tools based on determining whether the first device, the second device, and the third device have the additional tools.

10. The method of claim 8, where the one or more tools comprise:

a first tool to develop or create software or an application,

a second tool to maintain code versioning, code quality, or code deployment,

a third tool to develop a test script to test the software or the application,

a fourth tool to monitor health of the software or the application, or

a fifth tool to test a library.

11. The method of claim 8, further comprising:

provisioning a virtual environment on the first device; and

where identifying the one or more tools comprises;

identifying the one or more tools based on provisioning the virtual environment, the one or more tools to be used within the virtual environment.

12. The method of claim 8, where the one or more tools include one or more libraries related to the project.

13. The method of claim 8, further comprising:

utilizing the attribute to train the trained model.

14. The method of claim 8, where the one or more tools are related to multiple virtual environments or multiple operating systems.

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

one or more instructions that, when executed by one or more processors, cause the one or more processors to;

receive project information that identifies a set of tools to be provisioned on multiple devices,

the multiple devices to be used during a project;

process the project information to identify an attribute of the project based on receiving the project information,

the attribute of the project being identified based on at least one of;

natural language processing,

machine learning, or

artificial intelligence;

identify a first device, of the multiple devices, used to develop at least one of software or an application;

identify a second device, of the multiple devices, used to manage development of at least one of the software or the application;

identify a third device, of the multiple devices, used to test at least one of the software or the application;

process the project information to identify the set of tools based on receiving the project information,

the set of tools including different tools associated with different roles related to the project,

each of the set of tools being different for each of the first device, the second device, and the third device,

each of the set of tools being identified based upon a trained model,

the trained model being trained based on input from crowdsourcing;

identify a set of scripts associated with the set of tools,

the set of scripts to obtain or configure the set of tools;

provide set of scripts related to installing or configuring the set of tools on the first device, the second device, and the third device based on processing the project information; and

cause installation or configuration of the set of tools on the first device, the second device and the third device by executing the set of scripts,

the installation or configuration to occur in parallel.

16. The non-transitory computer-readable medium of claim 15, where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to:

publish information identifying the set of tools based on identifying the set of tools; and

receive multiple requests based on publishing the information identifying the set of tools.

17. The non-transitory computer-readable medium of claim 15, where the set of tools is related to multiple virtual environments or multiple operating systems.

18. The non-transitory computer-readable medium of claim 15, where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to:

determine whether the first device is configured with a virtual machine to use the set of tools;

cause the virtual machine to be installed or configured on the first device based on determining that the first device is not configured with the virtual machine; and

where the one or more instructions, that cause the one or more processors to provide the set of scripts, cause the one or more processors to;

provide the set of scripts based on causing the virtual machine to be installed or configured on the first device.

19. The non-transitory computer-readable medium of claim 15, where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to:

utilize the attribute to train the trained model.

20. The non-transitory computer-readable medium of claim 15, where the set of tools comprise:

a first tool to develop or create software or an application,

a second tool to maintain code versioning, code quality, or code deployment,

a third tool to develop a test script to test the software or the application,

a fourth tool to monitor health of the software or the application, or

a fifth tool to test a library.