US 2025/0094167 A1Published application

Auto Healing of Runtime Exceptions using Intelligent Building System and Generative AI

AssigneeBank of America Corporation

InventorsSandeep Verma, Divya Sharma, Sameer Grover, Jaya Sindhu Parakala, Divya Gaur, Narender Mudgal

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Abstract

During a software development lifecycle of a software application, application library versions are modified and multiple versions are built and packaged to be installed on different computing systems. An intelligent prediction and capture of runtime errors that may be encountered during a runtime of a software application provides a system-agnostic intelligent software code compiler/build system that intelligently identifies runtime errors at a build stage using artificial intelligence (AI) and automatically encapsulates specific software code to auto-heal runtime exceptions caused by updates to library files. The system may optionally also output a solution to the runtime error to the graphical user interface (GUI) of a software developer capable of performing another software application build.

Claims20

Dependent claims

A build computing system for reducing runtime errors that halt execution of compiled code due to a new version of a library that is incompatible with a previous version of the library having an application program interface (API) call in the compiled code, the build computing system comprising:

a compiler for programming source code, which comprises at least one line executing the API call;
a versioning server communicatively coupled to one or more repositories configured to store multiple versions of the library including the previous version of the library and the new version of the library;
and
an intelligent build system comprising a processor and a memory including:
(i) a build script that identifies the programming source code, and (ii) instructions that, when executed by the processor, cause the intelligent build system to:
scan, by a generative artificial intelligence (AI) engine, at least the programming source code identified in the build script, to identify the library referenced by the API call in the at least one line in the programming source code;
identify, by the generative AI engine, a chance that a runtime error occurs when the at least one line in the programming source code executes the API call, wherein the new version of the library is incompatible with the API call in the previous version of the library;
generate, by the generative AI engine, a wrapper code to encapsulate the at least one line in the programming source code;
replace, by the intelligent build system, the at least one line in the programming source code with the generated wrapper code, which comprises a try-catch syntax structure configured to capture the runtime error;
preserve the previous version of the library in the one or more repositories so that the previous version of the library is available for execution of the API call by the wrapper code;
compile, by the compiler, the programming source code after the replacing step is performed on the programming source code;
and
update a mapping table, which is stored in the versioning server, to redirect the API call in the programming source code to the previous version of the library or the new version of the library depending on the wrapper code.

10 more elements

A method for reducing runtime errors that halt execution of compiled programming source code due to a new version of a library that is incompatible with a previous version of the library having an application program interface (API) call in the compiled programming source code, the method comprising steps to:

scan, by a generative artificial intelligence (AI) engine in an intelligent build system, at least the programming source code identified in a build script, which is stored on the intelligent build system;
identify, by the generative AI engine, a chance that a runtime error occurs when at least one line in the programming source code executes the API call, wherein the new version of the library is incompatible with the API call in the previous version of the library;
generate, by the generative AI engine, a wrapper code;
encapsulate, by the intelligent build system, the at least one line in the programming source code with the wrapper code by replacing the at least one line in the programming source code with the wrapper code;
preserve the previous version of the library in one or more repositories configured to store multiple versions of the library including the previous version of the library and the new version of the library, wherein the preserving makes the previous version of the library available for execution of the API call by the wrapper code;
and
update a mapping table, which is stored in a versioning server communicatively coupled to the one or more repositories, to redirect the API call in the programming source code to the previous version of the library or the new version of the library depending on the wrapper code.

4 more elements

Dependencies are inferred from the claim text.