Machine learning-based universal software component identification
US-12175241-B1 · Dec 24, 2024 · US
US9507592B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9507592-B2 |
| Application number | US-201514698069-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 28, 2015 |
| Priority date | Sep 3, 2014 |
| Publication date | Nov 29, 2016 |
| Grant date | Nov 29, 2016 |
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A request for analysis of a data integration job is received that includes one or more features and criteria for the analysis. Each feature is extracted from a job model representing the job by invoking a corresponding analytical rule for each feature. The analytical rule includes one or more operations and invoking the analytical rule performs the operations to analyze one or more job components associated with the corresponding feature as represented in the job model and to extract information pertaining to that feature.
Opening claim text (preview).
What is claimed is: 1. A computer-implemented method of analyzing a data integration job performed by a computer system comprising: receiving a request for analysis of a data integration job, wherein the request includes one or more features and criteria for the analysis; and extracting each feature from a job model representing the data integration job independently of executing the data integration job by invoking a corresponding analytical rule for each feature, wherein the analytical rule includes one or more operations and invoking the corresponding analytical rule includes: performing the operations of the corresponding analytical rule to analyze one or more job components associated with the corresponding feature as represented in the job model and to extract information pertaining to that feature. 2. The computer-implemented method of claim 1 , further comprising: generating a report for the request including information pertaining to one or more extracted features. 3. The computer-implemented method of claim 1 , wherein extracting each feature includes: determining a presence of that feature within the job model. 4. The computer-implemented method of claim 1 , wherein extracting each feature includes: verifying that feature for compliance with one or more conditions. 5. The computer-implemented method of claim 1 , wherein at least one analytical rule extracts one or more features from the job model pertaining to an impact to the job components from one or more changes to the data integration job. 6. The computer-implemented method of claim 1 , wherein at least one analytical rule extracts one or more features pertaining to at least one of data type identification, a coding standard, relation to other jobs, and identification of one or more jobs developed from a common template.
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