Systems and methods for automated ai-assisted backporting of software patches

A system for automated backporting of patches using machine learning, comprising:

• at least one memory;
• and
• at least one hardware processor coupled with the at least one memory and configured, individually or in combination, to:
• detect, on a source code management system, a pull request from an upstream version of a software to one or more target versions of the software;
• and
• when the pull request is detected, execute backporting by:
• collecting input parameters associated with the pull request from the source code management system, wherein the collected input parameters comprise a patch;
• and
• for each target version of the software:
• analyze the input parameters using a first machine learning model (MLM) to determine whether the target version is affected by the patch;
• generate, by a second MLM, an adapted patch that adapts the patch to a source code of the target version, wherein the first MLM indicates that the target version is affected by the patch;
• and
• apply the adapted patch on the target version via the source code management system.

A non-transitory computer readable medium storing thereon computer executable instructions for automated backporting of patches using machine learning, including instructions for:

• detecting, on a source code management system, a pull request from an upstream version of a software to one or more target versions of the software;
• and
• when the pull request is detected, executing backporting by:
• collecting input parameters associated with the pull request from the source code management system, wherein the collected input parameters comprise a patch;
• and
• for each target version of the software:
• analyzing the input parameters using a first MLM to determine whether the target version is affected by the patch;
• generating, by a second MLM, an adapted patch that adapts the patch to a source code of the target version, wherein the first MLM indicates that the target version is affected by the patch;
• and
• applying the adapted patch on the target version via the source code management system.