Granted Patent B2

US 12,536,009 · App. 17/957,704 · Granted Jan 27, 2026

Inventor: Jagadeshwar Reddy Nomula (Cupertino, CA)

Assignee: Microsoft Technology Licensing, LLC

G06F8/65G06F8/76G06F9/45504

Abstract

Claims (59)

1 . A method for auto-generating an installation script that creates a runtime environment for a source code, the method comprising:

receiving a source code identifier identifying the source code;

determining characteristics of a target execution runtime environment for the source code;

extracting dependency identifiers from the source code;

providing the dependency identifiers and the characteristics of the target execution runtime environment to a trained machine learning (ML) model, the trained ML model being trained to identify sets of library version identifiers for an input source code that are compatible with different target execution runtime environments;

receiving, from the trained ML model, library version identifiers that each identify a version of a library supporting a corresponding one of the dependency identifiers and that is compatible with the characteristics of the target execution runtime environment; and

composing the installation script that includes the library version identifiers, the installation script being usable to create the target execution runtime environment for the source code.

2 . The method of claim 1 , wherein the installation script is an executable file that generates the target execution runtime environment.

3 . The method of claim 1 , wherein the installation script is a text file input to an installation function that uses the installation script to create the target execution runtime environment.

4 . The method of claim 1 , wherein the characteristics of the target execution runtime environment are characteristics of a user machine and the method further comprises:

providing the installation script to the user machine.

5 . The method of claim 1 , wherein the method further comprises:

configuring a container on a virtual machine with the characteristics of the target execution runtime environment;

creating the execution runtime environment for the source code in the container on the virtual machine using the installation script; and

responsive to successful creation of the execution runtime environment in the container on the virtual machine, providing a user device with access to the container.

6 . The method of claim 1 , wherein determining the characteristics of the target execution runtime environment includes detecting the characteristics of the target execution environment from a user device.

7 . The method of claim 1 , further comprising:

generating multiple different versions of the installation script;

configuring multiple virtual machines with the characteristics of the target execution runtime environment;

testing each of the different versions of the installation script in parallel on the configured multiple virtual machines.

8 . The method of claim 1 , wherein the installation script specifies an order of dependencies identified by the dependency identifiers, the order facilitating error-free compilation of the dependencies.

9 . The method of claim 1 , wherein the trained ML model includes at least one of a transformer model and a transfer learning model.

10 . A system auto-generating an installation script that creates a runtime environment for a source code, the system comprising:

a processing system;

memory;

an installation script generation engine stored in the memory and executable by the processing system to:

receive, from a device, a source code identifier identifying a source code;

receive, from the device, characteristics of a target execution runtime environment for the source code;

extract dependency identifiers from the source code;

provide the dependency identifiers and the characteristics of the target execution runtime environment to a trained machine learning (ML) model, the trained ML model being trained to identify sets of library version identifiers for an input source code that are compatible with different target execution runtime environments;

receive, from the trained ML model, library version identifiers that each identify a version of a library supporting a corresponding one of the dependency identifiers and that is compatible with the characteristics of the target execution runtime environment; and

compose the installation script that includes the library version identifiers, the installation script being usable to create the target execution runtime environment for the source code.

11 . The system of claim 10 , wherein the characteristics of the target execution runtime environment include detected characteristics of the device.

12 . The system of claim 10 , wherein the characteristics of the target execution runtime environment are characteristics of the device and the installation script generation engine is further configured to:

provide as output the installation script to the device.

13 . The system of claim 10 , wherein the characteristics of the target execution runtime environment are user-specified characteristics and the installation script generation engine is further executable to:

configure a container on a virtual machine with the characteristics of the target execution runtime environment;

use the installation script to create the execution runtime environment for the source code in the container on the virtual machine; and

responsive to successful creation of the execution runtime environment in the container on the virtual machine, provide the device with access to the container.

14 . The system of claim 10 , wherein installation script generation engine is further executable to:

generate multiple different versions of the installation script;

configure multiple virtual machines with the characteristics of the target execution runtime environment;

test each of the different versions of the installation script in parallel on the configured multiple virtual machines; and

responsive to a successful test of a particular version of the installation script on a virtual machine, provide access to a runtime execution environment created on the virtual machine by the successful test.

15 . The system of claim 10 , wherein the installation script specifies an order of dependencies identified by the dependency identifiers, the order facilitating error-free compilation of the dependencies.

16 . The system of claim 10 , wherein the trained ML model includes at least one of a transformer model and a transfer learning model.

17 . A method comprising:

training a machine learning (ML) model with a set of training inputs including source code products and, for each one of the source code products:

a corresponding installation script successfully used to create a runtime environment for the source code product; and

characteristics of a computing environment in which the runtime environment was successfully created by the installation script;

extracting dependency information from a source code file;

providing as input to the ML model the dependency information along with a set of characteristics of a target execution runtime environment, the trained ML model being trained to identify sets of library version identifiers for an input source code that are compatible with different target execution runtime environments; and

receiving as output from the ML model a set of library version identifiers, each one of the library version identifies identifying a version of a library that supports a dependency in the source code product and that is compatible with the characteristics of the target runtime environment; and

composing the installation script that includes the set of library version identifiers.

18 . The method of claim 17 , wherein the outputs from the ML model provide an ordering for the library version identifiers that supports error-free compilation of a set of corresponding libraries.

19 . The method of claim 17 , wherein the installation script is at least one of an executable file that generates the target execution runtime environment and a text file input to an installation function that uses the installation script to create the target execution runtime environment.

20 . The method of claim 17 , further comprising:

using the installation script to create a runtime environment for the source code on a virtual machine; and

providing access to the runtime environment on the virtual machine.

Assignments (1)

Continuity (2)

References Cited (20)