IP Library Granted Patent US 11,249,751
Granted Patent B2
US 11,249,751 · App. 16/429,055 · Granted Feb 15, 2022

Methods and systems for automatically updating software functionality based on natural language input

Inventor: Babu Vinod Sivadasan (Fremont, CA)
G06F8/73G06F8/34G06F40/58
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Quick Facts
Patent No.
US 11,249,751
App. No.
16/429,055
Granted
Feb 15, 2022
Kind
B2
Abstract

In one aspect, a method for automatically updating software functionality based on natural language input includes the step of providing a visual programming application; based on either a conversational specification input from the user or based on a fully functional specification document detailing the functional requirements, uploaded as input. The user conversation input comprises a natural language input, whereas the functional specification document is written in natural language detailing the scope and goal of the requirement The method includes the step of interpreting the user specification input to determine an associated functionality goal. The method includes the step of generating a functionality associated with the functionality goal. The method includes the step of integrating the functionality into an application development process.

Claims (50)

1. A method for automatically updating software functionality based on natural language input comprising:

providing a visual programming application;

receiving a functional specification as input, wherein the functional specification comprises a user conversation input;

interpreting the user conversation input to determine an associated functionality goal;

providing a virtual programming assistant, wherein the virtual programming assistant utilizes a chatbot functionality to interact with the user to:

implement the associated functionality goal,

answer questions about software module functionality preferences, and

schedule a software module upgrade;

generating a functionality associated with the functionality goal;

integrating the functionality into an application development process;

identifying and integrating a set of hook anchors into a software module that implements the functionality, and wherein the step of identifying and integrating a set of hook anchors into a software module that implements the functionality further comprises;

providing each software module of the application being developed an identifier,

determining a set of modifiable functionalities of the software module,

for each modifiable functionality, associating a set of one or more hooks,

integrating the set of hook anchors into the software module, for each of the set of one or more hooks, and

storing the one or more hooks in separate data store, and

wherein the user conversation input comprises a natural language input,

wherein the functional specification further comprises a digital text version of a software specification.

2. The method of claim 1 , further comprising:

creating a more accurate software documentation or functional specification from analysis of a live application using a metadata stored in a system.

3. A computer system automatically updating software functionality based on natural language input comprising:

a processor;

a memory containing instructions when executed on the processor, causes the processor to perform operations that:

provide a visual programming application;

receive a user conversation input, wherein the user conversation input comprises a natural language input;

interpret the user conversation input to determine an associated functionality goal;

provide a virtual programming assistant, wherein the virtual programming assistant utilizes a chatbot functionality to interact with the user to:

implement an associated functionality goal,

answer questions about software module functionality preferences, and

schedule a software module upgrade;

generate a functionality associated with the functionality goal;

identify and integrate a set of hook anchors into a software module that implements the functionality; and

integrate the functionality into an application development process,

wherein a user conversation input comprises a natural language input,

wherein a functional specification further comprises a digital text version of a software specification.

4. A computerized method for updating a software module's functionality with a set of temporary hooks comprising:

receiving a user's natural language processing (NLP) instructions to update a computer application's functionality;

automatically interpreting a user's intent;

providing a virtual programming assistant, wherein the virtual programming assistant utilizes a chatbot functionality to interact with the user to:

implement an associated functionality goal,

answer questions about software module functionality preferences, and

schedule a software module upgrade;

identifying the computer application's functionality based on the automatic interpretation of the user's intent;

based on the computer application's functionality, identifying a software module that controls the computer application's functionality;

identifying and providing a set of hooks that update the computer application's functionality in the software module;

integrating the set of hooks into the software module;

removing the set of hooks from the software module;

and

with the set of hooks, updating the software module,

wherein a user conversation input comprises a natural language input, wherein a functional specification further comprises a digital text version of a software specification.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 22, 2021
From: SIVADASAN, BABU VINOD
To: PAANINI INC.
Reel/Frame 056952/0851 →
Continuity (2)
Provisional Application 62679199 · Jun 1, 2018
Related Publication 20200159526A1 · May 21, 2020
Cited By (1)
US 12,737,173