Machine learning-based universal software component identification
US-12175241-B1 · Dec 24, 2024 · US
US8959484B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8959484-B2 |
| Application number | US-201213529856-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 21, 2012 |
| Priority date | Jun 21, 2012 |
| Publication date | Feb 17, 2015 |
| Grant date | Feb 17, 2015 |
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Compiling source code to provide an executable code build. The method includes configuring a pool of substantially identical virtual machines in a distributed cloud computing environment. Configuring may include configuring virtual machines to have generic code compiling functionality. The method further includes determining that source code for a particular user should be compiled. As a result, the method includes selecting a virtual machine from the pool of substantially identical virtual machines and configuring the selected virtual machine in a way that is specific to the user. Source code for the user is retrieved from a source control system deployed in the distributed computing environment. Using the virtual machine configured in the way specific to the user, the user's retrieved source code is compiled to compiled code. After compiling is completed, the configured virtual machine is restored to a generic form.
Opening claim text (preview).
What is claimed is: 1. In a distributed computing environment, a computer-implemented method of facilitating for one or more users of the distributed computing environment automated builds of executable code for one or more users' source code using shared resources of the distributed computing environment, the computer-implemented method comprising: storing in a storage area of the distributed computing environment one or more project collections of source code for one or more use…
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
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