US-20260126991-A1 - SYSTEM AND METHOD FOR SELF-ADJUSTING ROBOTIC BUILD INFRASTRUCTURE FOR SOFTWARE APPLICATION DEVELOPMENT

US20260126991A1US 20260126991 A1US20260126991 A1US 20260126991A1US-20260126991-A1

Abstract

Systems, computer program products, and methods are described herein for self-adjusting robotic build infrastructure for software application development. The present disclosure is configured to receive a set of input parameters associated with the planned build; analyze the set of input parameters associated with the planned build; determine a robotic build infrastructure from a robotic build infrastructure database using the analyzed set of input parameters associated with the planned build; compile an image test of the planned build based on the robotic build infrastructure determined from the robotic build infrastructure database; validate the image test through a performance test; adjust the image test based on the analyzed set of input parameters and the performance test validation; initiate a final build of the robotic build infrastructure based on the adjusted image test; and certify the final build of the adjusted robotic build infrastructure.

Inventors

Deepak Suresh Dhokane
Debraj Goswami
Satish S. Kekane
Mohan Kishore Kolli

Assignees

BANK OF AMERICA CORPORATION

Dates

Publication Date: 20260507
Application Date: 20251219

Claims (20)

1 . A system for self-adjusting robotic build infrastructure for software application development, the system comprising: a memory device with computer-readable program code stored thereon; at least one processing device operatively coupled to the at least one memory device and the at least one communication device, wherein executing the computer-readable code is configured to cause the at least one processing device to: analyze a set of input parameters associated with the planned build; determine a robotic build infrastructure from a robotic build infrastructure database using the analyzed set of input parameters associated with the planned build; compile an image test of the planned build based on the robotic build infrastructure determined from the robotic build infrastructure database; validate the image test through a performance test; adjust the image test based on the analyzed set of input parameters and the performance test validation; and initiate a final build of the robotic build infrastructure based on the adjusted image test.
2 . The system of claim 1 , wherein determination of the robotic build infrastructure from the robotic build infrastructure database further comprises: compare the analyzed set of input parameters against a standards information base; define a set of compliance guidelines through a governance module; compare the analyzed set of input parameters against the robotic build infrastructure database; and select the robotic build infrastructure from the robotic build infrastructure database using a plurality of advanced computational models for data analysis and automated decision making, comparisons of the standards information base, and the set of compliance guidelines defined by the governance module.
3 . The system of claim 1 , wherein validating the image test comprises performing regressive validation on the image test.
4 . The system of claim 1 , wherein adjusting the image test comprises: define a set of performance criteria based on the analyzed set of input parameters associated with the planned build; load a test case scenario from a test case repository; execute the test case scenario; and analyze the set of performance criteria resulting from the test case scenario.
5 . The system of claim 4 , wherein adjusting the image test further comprises: transmit a request to an end user to revise the test image based on a test iteration; revise the test image upon receipt of approval from the end user to revise the test image based on the test iteration; and generate an adjusted image test through a plurality of advanced computational models for data analysis and automated decision making.
6 . The system of claim 1 , wherein initiating a final build comprises storing the adjusted image test within the robotic build infrastructure database.
7 . The system of claim 1 , wherein initiating the final build comprises balancing a local traffic management (LTM) and a global traffic management (GTM).
8 . A computer program product for self-adjusting robotic build infrastructure for software application development, the computer program product comprising at least one non-transitory computer-readable medium having computer-readable program code embodied therein, the computer-readable program code comprising instructions that, when executed by at least one processor, cause the processor to: analyze a set of input parameters associated with the planned build; determine a robotic build infrastructure from a robotic build infrastructure database using the analyzed set of input parameters associated with the planned build; compile an image test of the planned build based on the robotic build infrastructure determined from the robotic build infrastructure database; validate the image test through a performance test; adjust the image test based on the set of analyzed input parameters and the performance test validation; and initiate a final build of the robotic build infrastructure based on the adjusted image test.
9 . The computer program product of claim 8 , wherein determination of the robotic build infrastructure from the robotic build infrastructure database further comprises: compare the analyzed set of input parameters against a standards information base; define a set of compliance guidelines through a governance module; compare the analyzed set of input parameters against the robotic build infrastructure database; and select the robotic build infrastructure from the robotic build infrastructure database using a plurality of advanced computational models for data analysis and automated decision making, comparisons of the standards information base, and the set of compliance guidelines defined by the governance module.
10 . The computer program product of claim 8 , wherein validating the image test comprises performing regressive validation on the image test.
11 . The computer program product of claim 8 , wherein adjusting the image test comprises: define a set of performance criteria based on the analyzed set of input parameters associated with the planned build; load a test case scenario from a test case repository; initiate the test case scenario; and analyze the set of performance criteria resulting from the test case scenario.
12 . The computer program product of claim 11 , wherein adjusting the image test further comprises: transmit a request to an end user to revise the test image based on a test iteration; revise the test image upon receipt of approval from the end user to revise the test image based on the test iteration; and generate an adjusted robotic build infrastructure through a plurality of advanced computational models for data analysis and automated decision making.
13 . The computer program product of claim 8 , wherein initiating a final build comprises storing the adjusted image test within the build infrastructure database.
14 . The computer program product of claim 8 , wherein initiating the final build comprises balancing a local traffic management (LTM) and a global traffic management (GTM).
15 . A method for self-adjusting robotic build infrastructure for software application development, the method comprising: analyzing a set of input parameters associated with the planned build; determining a robotic build infrastructure from a build infrastructure database using the analyzed set of input parameters associated with the planned build; compiling an image test of the planned build based on the robotic build infrastructure determined from the robotic build infrastructure database; validating the image test through a performance test; adjusting the image test based on the set of input parameters and the performance test validation; and initiating a final build of the robotic build infrastructure based on the adjusted image test.
16 . The method of claim 15 , wherein determining the robotic build infrastructure from the robotic build infrastructure database further comprises: comparing the analyzed set of input parameters against a standards information base; defining a set of compliance guidelines through a governance module; comparing the analyzed set of input parameters against the robotic build infrastructure database; and selecting the robotic build infrastructure from the robotic build infrastructure database using a plurality of advanced computational models for data analysis and automated decision making, comparisons of the standards information base, and the set of compliance guidelines defined by the governance module.
17 . The method of claim 15 , wherein validating the image test comprises performing regressive validation on the image test.
18 . The method of claim 15 , wherein adjusting the image test comprises: defining a set of performance criteria based on the analyzed set of input parameters associated with the planned build; loading a test case scenario from a test case repository; executing the test case scenario; and analyzing the set of performance criteria resulting from the test case scenario.
19 . The method of claim 18 , wherein adjusting the image test comprises: transmitting a request to an end user to revise the test image based on a test iteration; revising the test image upon receipt of approval from the end user to revise the test image based on the test iteration; and generating an adjusted robotic build infrastructure through a plurality of advanced computational models for data analysis and automated decision making.
20 . The method of claim 15 , wherein initiating a final build comprises storing the adjusted image test within the build infrastructure database.

Description

CROSS-REFERENCE TO RELATED APPLICATION This application is a continuation of and claims the benefit of priority to U.S. Patent Application No. 18/225,211, filed July 24, 2023, and of the same title; the contents of which are also incorporated herein by reference. TECHNOLOGICAL FIELD Example embodiments of the present disclosure relate to self-adjusting robotic build infrastructure for software application development. BACKGROUND Significant amounts of resources, time, and human intervention are associated with the provisioning and installation of new robotic infrastructure. Automated builds based on a factory model have experienced difficulty in scaling to a specific environment. Applicant has identified a number of deficiencies and problems associated with self-adjusting robotic build infrastructure for software application development. Through applied effort, ingenuity, and innovation, many of these identified problems have been solved by developing solutions that are included in embodiments of the present disclosure, many examples of which are described in detail herein. BRIEF SUMMARY Systems, methods, and computer program products are provided for self-adjusting robotic build infrastructure for software application development. In one aspect, a system for self-adjusting robotic build infrastructure for software application development is provided. In some embodiments, the system may comprise: a memory device with computer-readable program code stored thereon; at least one processing device operatively coupled to the at least one memory device and the at least one communication device, wherein executing the computer-readable code is configured to cause the at least one processing device to: receive a set of input parameters associated with a planned build; analyze the set of input parameters associated with the planned build; determine a robotic build infrastructure from a build infrastructure database using the analyzed set of input parameters associated with the planned build; compile an image test of the planned build based on the robotic build infrastructure determined from the robotic build infrastructure database; validate the image test through a performance test; adjust the image test based on the analyzed set of input parameters and the performance test validation; initiate a final build of the robotic build infrastructure based on the adjusted image test; and certify the final build of the adjusted robotic build infrastructure. In some embodiments, determination of the robotic build infrastructure from the robotic build infrastructure database includes: compare the analyzed set of input parameters against a standards information base; define a set of compliance guidelines through a governance module, compare the analyzed set of input parameters against the robotic build infrastructure database; and select the robotic build infrastructure from the robotic build infrastructure database using a plurality of advanced computational models for data analysis and automated decision making, comparisons of the standards information base, and the set of compliance guidelines defined by the governance module. In some embodiments, validating the image test includes performing regressive validation on the image test. In some embodiments, adjusting the image test includes: define a set of performance criteria based on the analyzed set of input parameters associated with the planned build; load a test case scenario from a test case repository; execute the test case scenario; and analyze the set of performance criteria resulting from the test case scenario. In some embodiments, adjusting the image test includes: transmit a request to an end user to revise the test image based on a test iteration; revise the test image upon receipt of approval from the end user to revise the test image based on the test iteration; and generate an adjusted image test through a plurality of advanced computation models for data analysis and automated decision making. In some embodiments, initiating a final build includes storing the adjusted image test within the robotic build infrastructure database. In some embodiments, initiating the final build includes balancing a local traffic management (LTM) and a global traffic management (GTM). In another aspect, a computer program product for self-adjusting robotic build infrastructure for software application development, the computer program product comprising at least one non-transitory computer-readable medium having computer-readable program code portions embodied therein, the computer-readable program code portions comprising: an executable portion configured to receive a set of input parameters associated with a planned build; analyze the set of input parameters associated with the planned build; an executable portion configured to determine a robotic build infrastructure from a build infrastructure database using the analyzed set of input parameters associated with the planned bu