Generating and deploying software architectures using telecommunication resources

Patent metadata

Field	Value
Publication number	US-11811681-B1
Application number	US-202217863291-A
Country	US
Kind code	B1
Filing date	Jul 12, 2022
Priority date	Jul 12, 2022
Publication date	Nov 7, 2023
Grant date	Nov 7, 2023

Abstract

System and methods for generating a deployment, such as a software architecture, using existing telecommunication resources, such as microservices, data sources, and/or communication channels. A plain language message is received that describes requirements of a desired deployment. One or more entities are extracted from the plain language message. Based on the extracted entities, the system recommends one or more existing telecommunication resources for use in the desired deployment. In some implementations, recommendations are generated using a machine learning model that generates relevance scores for each of multiple existing telecommunication resources. A selection is received from among the recommended telecommunication resources, and the desired deployment is generated using the selected telecommunication resources.

First claim

We claim:

1. A computing system for generating schematic representations of software architectures using existing telecommunication resources, the computing system comprising:
at least one hardware processor;
at least one display; and
at least one non-transitory memory carrying instructions that, when executed by the at least one hardware processor, cause the computing system to perform operations to generate a schematic representation of a software architecture using existing telecommunication resources, the operations comprising:
displaying, at the at least one display, a graphical user interface (GUI) that includes at least one input field;
receiving, via the at least one input field, at least one message that describes a desired software architecture,
wherein the desired software architecture comprises a set of telecommunication resources;

extracting, from at least one message that describes the desired software architecture, at least one entity related to a characteristic of the desired software architecture,
wherein the at least one entity includes a keyword or a phrase;

identifying, based on the extracted at least one entity and using a machine learning model, multiple recommended resources for the desired software architecture,
wherein at least one of the multiple recommended resources includes a microservice, and
wherein the multiple recommended resources for the desired software architecture are identified based on comparing a relevance score generated by the machine learning model for each of multiple existing resources to a corresponding threshold relevance score;

dynamically displaying, at the GUI, the multiple recommended resources for the desired software architecture;
receiving a selection of one or more of the multiple recommended resources to be included in the desired software architecture; and
generating, by the computing system, the schematic representation of the desired software architecture,
wherein the desired software architecture includes the selected one or more recommended resources, and
wherein the schematic representation of the desired software architecture comprises a schema or a diagram depicting components to be included in the desired software architecture.

2. The computing system of claim 1 , wherein the at least one message includes a requirements statement or at least a portion of a software requirements specification (SRS), the operations further comprising:
generating a software application based on the schematic representation of the desired software architecture.

3. The computing system of claim 1 , wherein the operations further comprise:
converting the at least one message into a requirements statement in a standard format,
wherein the requirements statement specifies a function or feature of the software architecture, and
wherein the at least one message includes two or more of: a role, a starting condition, an exception, a requirement, or an acceptance criterion.

4. The computing system of claim 1 :
wherein the GUI includes a deployment region, and
wherein the selection of the one or more recommended resources is received by detecting that a user has dragged the one or more recommended resources to the deployment region.

5. The computing system of claim 1 :
wherein the at least one input field of the GUI comprises a first input field to receive the message and a second input field to receive an additional message,
wherein the second input field is displayed in response to receiving a command to add an input field, and
wherein the displayed multiple recommended resources dynamically update in response to receiving the additional message at the second input field.

6. The computing system of claim 1 :
wherein the machine learning model is trained using a training dataset comprising multiple existing resources each associated with at least one existing software architecture, and
wherein each of the multiple existing resources in the training dataset is associated with metadata.

7. The computing system of claim 1 :
wherein the machine learning model is trained using a training dataset comprising multiple existing resources each associated with at least one existing software architecture,
wherein each of the multiple existing resources in the training dataset is associated with metadata, and
wherein at least some of the multiple existing resources in the training dataset are represented by a data object that includes the metadata.

8. At least one computer-readable medium, excluding transitory signals, carrying instructions that, when executed by a computing system, cause the computing system to perform operations to generate a deployment using existing telecommunication resources, the operations comprising:
receiving a set of plain language messages that describe one or more requirements of a desired deployment comprising multiple telecommunication resources;
converting the set of plain language messages into at least one requirements statement in a standard format;
extracting, from the at least one requirements statement in the standard format, at least one keyword or phrase related to a characteristic of the desired deployment;
accessing multiple existing telecommunication resources,
wherein the multiple existing telecommunication resources comprise at least one of a data source, a microservice, or a communication channel, and
wherein each of the multiple existing telecommunication resources is associated with metadata related to an existing deployment that includes the existing telecommunication resource;

generating, by a trained machine learning model, a relevance score for each of the accessed multiple existing telecommunication resources,
wherein the relevance score reflects a likelihood that a corresponding existing telecommunication resource is relevant to the desired deployment;

recommending, based on the generated relevance scores, at least some of the multiple existing telecommunication resources for inclusion in the desired deployment;
receiving a selection of two or more telecommunication resources from the recommended at least some of the multiple existing telecommunication resources; and
generating, using the selected two or more telecommunication resources, a set of instructions intended to achieve the desired deployment.

9. The at least one computer-readable medium of claim 8 , wherein the desired deployment includes a digital resource that represents a hardware resource associated with the desired deployment.

10. The at least one computer-readable medium of claim 8 , wherein the set of plain language messages is received at an input region of a graphical user interface (GUI), the operations further comprising:
displaying the recommended at least some of the multiple existing telecommunication resources at a recommendation region of the GUI.

11. The at least one computer-readable medium of claim 8 , the operations further comprising:
displaying the recommended at least some of the multiple existing telecommunication resources at a recommendation region of graphical user interface (GUI),
wherein receiving the selection of the two or more telecommunication resources from the recommended at least some of the multiple existing telecommunication resources includes detecting that a user has dragged the two or more telecommunication resources from the recommendation region of the GUI to a deployment region of the GUI.

12. The at least one computer-readable medium of claim 8 , wherein at least some of the multiple existing telecommunication resources are accessed using data objects that each represent an existing telecommunication resource of the at least

Assignees

• T Mobile Usa Inc

Inventors

• Kadam Salil
• Sharma Devanand
• Hodgen James
• Neelakandasharma Prasad
• Badrinath Surya
• Vijayan Nair Vimalakumari Amma Arun
• Shrestha Ayush

Classifications

• H04L47/822 Primary

  Collecting or measuring resource availability data · CPC title

• G06F18/214

  Generating training patterns; Bootstrap methods, e.g. bagging or boosting · CPC title

• G06N20/00

  Machine learning · CPC title

• H04L47/765

  triggered by the end-points · CPC title

• H04L47/782

  Hierarchical allocation of resources, e.g. involving a hierarchy of local and centralised entities · CPC title