IP Library Granted Patent US 9,934,002
Granted Patent B2
US 9,934,002 · App. 15/028,735 · Granted Apr 3, 2018

Technology recommendation for software environment

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Quick Facts
Patent No.
US 9,934,002
App. No.
15/028,735
Granted
Apr 3, 2018
Kind
B2
Abstract

A method includes receiving, by a computer, input from a client device. The input is indicative of a software environment for software to be developed by a user. The method further includes analyzing, by the computer, the received input against a knowledge base to generate a technology recommendation for the user to use to develop the software. The method also includes providing, by the computer, the technology recommendation to the client device.

Claims (32)

1. A method, comprising:

receiving, by a computer, input from a client device, the input indicative of a software environment for a software application to be developed by a user;

analyzing, by the computer, the received input against a knowledge base to generate a technology recommendation for the user to use to develop the software application, wherein the knowledge base encodes a query tree that specifies questions to be provided to the user to solicit the input indicative of the software application environment, wherein the query tree includes a plurality of leaf nodes, the leaf nodes associated with questions to solicit the input from the user related to a software platform, a server role, and a type of device on which the software application is to be executed;

analyzing, by the computer, a path in the query tree by obtaining a first leaf node in a first level of the query tree, the first leaf node corresponding to a first question to provide to the client device; and

providing, by the computer, the technology recommendation to the client device.

2. The method of claim 1 wherein the input indicative of the software environment received from the client device includes a type of device on which the software to be developed is to execute and an operating system for executing the software application.

3. The method of claim 1 wherein receiving the input comprises receiving the input via a graphical user interface (GUI) on the client device, the input including a plurality of blocks, wherein each block specifies a feature of the software environment.

4. The method of claim 1 wherein the technology recommendation comprises at least one of a software framework, a software development language, and a software platform.

5. The method of claim 1 , further comprising:

analyzing the first leaf node by searching the knowledge base; and

based on an analysis of the first leaf node, accessing a second leaf node in a second level of the query tree, the second leaf node corresponding to a second question to provide the client device.

6. A non-transitory, computer readable storage device containing software that, when executed by a processor, causes the processor to:

receive input from a client device, the input indicative of a software application environment for a software application to be developed by a user;

analyze the received input against a knowledge base to generate a technology recommendation for the user to use to develop the software application, the technology recommendation specifying a programming language for the user to use to develop the software application, wherein the knowledge base encodes a query tree that specifies questions to be provided to the user to solicit the input indicative of the software application environment, wherein the query tree includes a plurality of leaf nodes, the leaf nodes associated with questions to solicit the input from the user related to a software platform, a server role, and a type of device on which the software application is to be executed;

analyze a path in the query tree by causing the processor to obtain a first leaf node in a first level of the query tree, the first leaf node corresponding to a first question to provide to the client device; and

provide the technology recommendation to the client device.

7. The non-transitory, computer readable storage device of claim 6 , wherein the software causes the processor to:

analyze the first leaf node by searching the knowledge base; and

based on an analysis of the first leaf node, access a second leaf node in a second level of the query tree, the second leaf node corresponding to a second question to provide the client device.

8. The non-transitory, computer readable storage device of claim 6 wherein the technology recommendation further specifies a software framework and a software protocol to be used to develop the software application.

9. The non-transitory, computer readable storage device of claim 6 wherein the input includes a skill level of the user.

10. A server comprising:

a processor; and

a non-transitory computer readable medium storing instructions that when executed by the processor cause the processor to:

receive input from a client device, the input indicative of a software application environment for the software application to be developed by a user;

analyze the received input against a knowledge base to generate a technology recommendation for the user to use to develop the software application, wherein the knowledge base encodes a query tree that specifies questions to be provided to the user to solicit the input indicative of the software application environment, wherein the query tree includes a plurality of leaf nodes, the leaf nodes associated with questions to solicit the input from the user related to a software platform, a server role, and a type of device on which the software application is to be executed;

analyze a path in the query tree by causing the processor to obtain a first leaf node in a first level of the query tree, the first leaf node corresponding to a first question to provide to the client device; and

provide the technology recommendation to the client device.

11. The server of claim 10 , wherein the instructions are to cause the processor to:

analyze the first leaf node by searching the knowledge base; and

based on an analysis of the first leaf node, access a second leaf node in a second level of the query tree, the second leaf node corresponding to a second question to provide the client device.

12. The server of claim 10 , wherein the technology recommendation further specifies a software framework, a software protocol, and a programming language to be used to develop the software application.

Assignments (8)
RELEASE OF SECURITY INTEREST REEL/FRAME 044183/0577 Recorded Feb 2, 2023
From: JPMORGAN CHASE BANK, N.A.
To: MICRO FOCUS LLC (F/K/A ENTIT SOFTWARE LLC)
Reel/Frame 063560/0001 →
RELEASE OF SECURITY INTEREST REEL/FRAME 044183/0718 Recorded Feb 2, 2023
From: JPMORGAN CHASE BANK, N.A.
To: MICRO FOCUS LLC (F/K/A ENTIT SOFTWARE LLC); BORLAND SOFTWARE CORPORATION; MICRO FOCUS (US), INC.; SERENA SOFTWARE, INC; ATTACHMATE CORPORATION; MICRO FOCUS SOFTWARE INC. (F/K/A NOVELL, INC.); NETIQ CORPORATION
Reel/Frame 062746/0399 →
CHANGE OF NAME Recorded Aug 8, 2019
From: ENTIT SOFTWARE LLC
To: MICRO FOCUS LLC
Reel/Frame 050004/0001 →
SECURITY INTEREST Recorded Oct 11, 2017
From: ATTACHMATE CORPORATION; BORLAND SOFTWARE CORPORATION; NETIQ CORPORATION; MICRO FOCUS (US), INC.; MICRO FOCUS SOFTWARE, INC.; ENTIT SOFTWARE LLC; ARCSIGHT, LLC; SERENA SOFTWARE, INC.
To: JPMORGAN CHASE BANK, N.A.
Reel/Frame 044183/0718 →
SECURITY INTEREST Recorded Oct 11, 2017
From: ENTIT SOFTWARE LLC; ARCSIGHT, LLC
To: JPMORGAN CHASE BANK, N.A.
Reel/Frame 044183/0577 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 9, 2017
From: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
To: ENTIT SOFTWARE LLC
Reel/Frame 042746/0130 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 22, 2016
From: PRIEL, TOMER; COHEN, KAREN; MORDECHAI, ELI
To: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
Reel/Frame 039500/0408 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 27, 2016
From: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
To: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Reel/Frame 038536/0001 →