Scale computing in deterministic cloud environments
US-2024370302-A1 · Nov 7, 2024 · US
US9104525B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9104525-B2 |
| Application number | US-201313746622-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jan 22, 2013 |
| Priority date | Jan 22, 2013 |
| Publication date | Aug 11, 2015 |
| Grant date | Aug 11, 2015 |
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Techniques for mining API method usage patterns from source code are described. These techniques include parsing the source code to generate API method call sequences that include an API method. These call sequences are clustered to obtain clusters. Based on the clusters, frequent closed sequences are determined and then clustered to obtain an API usage pattern. In addition, optimal clustering parameters may also be determined. In some instances, a graphical representation is generated based on the API usage pattern in response to a query associated with the API method.
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What is claimed is: 1. A computer-implemented method for Application Programming Interface (API) method usage data mining, the method comprising: generating API call sequences associated with an API method from a code file; clustering the API call sequences to generate multiple clusters; determining multiple frequent closed sequences of the multiple clusters; and clustering the multiple frequent closed sequences to generate an API usage pattern associated with the API method…
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