Machine learning-based universal software component identification
US-12175241-B1 · Dec 24, 2024 · US
US8990782B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8990782-B2 |
| Application number | US-201313765730-A |
| Country | US |
| Kind code | B2 |
| Filing date | Feb 13, 2013 |
| Priority date | May 4, 2012 |
| Publication date | Mar 24, 2015 |
| Grant date | Mar 24, 2015 |
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A solution is proposed for instrumenting a software application for configuration thereof. A corresponding method includes scanning a source code of the software application for detecting an indication of a set of configuration parameters each one being identified by a pre-defined non-executable statement, creating a set of instances of a pre-defined configuration object each one mapping a corresponding one of the configuration parameters, the configuration object being designed to manage the corresponding configuration parameter, and creating a set of configuration interfaces for editing the configuration parameters, the configuration interfaces being operable to interact with each instance of the configuration object to get and set the corresponding configuration parameter.
Opening claim text (preview).
The invention claimed is: 1. A computer implemented system for performing a method for instrumenting a JEE software application for configuration thereof, the method comprising: one or more processors and memory units; Scanning, by a computing device, a source code of the JEE software application for detecting an indication of a set of configuration parameters, each configuration parameter being identified by a pre-defined non-executable statement comprising an annotation, cre…
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