Health checking a question answering cognitive computing system built on a baseline of ground truth virtual checksum
US-9471877-B1 · Oct 18, 2016 · US
US9946786B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9946786-B2 |
| Application number | US-201615067997-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 11, 2016 |
| Priority date | Mar 23, 2015 |
| Publication date | Apr 17, 2018 |
| Grant date | Apr 17, 2018 |
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An approach is provided to ingest software source code files into a question/answering (QA) system. During ingestion, source code blocks are classified to identify one or more constructs in the blocks as being domain-specific. Relationships between the blocks are then mapped. Software compliance regulations are ingested into the QA system. Using the QA system, a source code file is analyzed for compliance to the software compliance regulations. The analysis identifies code sections within the source code file as being domain-specific and subject to the ingested set of software compliance regulations.
Opening claim text (preview).
The invention claimed is: 1. A method implemented by an information handling system that includes a memory having executable instructions stored thereon and a processor, where the processor executes the instructions to perform the method steps, the method steps comprising: building a domain-specific knowledge base of a domain by ingesting a plurality of source code files into the domain-specific knowledge base utilized by a question/answering (QA) system, wherein the ingesting further comprises: ingesting a set of software compliance regulations corresponding to the domain into the domain-specific knowledge base; selecting one of the plurality of source code files that includes a plurality of source code sections; classifying one of the plurality of source code sections as a domain-specific source code section; and classifying a construct in the domain-specific source code section as a domain-specific construct; retrieving a new source code file that comprises a plurality of new source code sections, wherein a selected one of the plurality of new source code sections includes a new construct; generating a natural language question based on the new construct; and processing, by the QA system, the natural language question using the domain-specific knowledge base, wherein the processing further comprises: matching the new construct to the domain-specific construct; determining, in response to the matching, that the selected source code section is subject to the ingested set of software compliance regulations; and generating an answer, in response the determining, that indicates the new source code section is subject to the set of software compliance regulations. 2. The method of claim 1 further comprising: identifying one or more domain-specific relationships between the plurality of new code sections of the new source code file; and using the QA system, analyzing compliance of the new source code file by further determining whether the identified one or more domain-specific relationships are subject to the ingested set of software compliance regulations. 3. The method of claim 1 further comprising: formulating a different natural language question pertaining to the new source code file being domain specific and subject to the ingested set of software compliance regulations; submitting the different natural language question to the QA system; and receiving a response from the QA system that indicates whether the new source code file is subject to the ingested set of software compliance regulations. 4. The method of claim 1 further comprising: receiving, from the QA system, a confidence value corresponding to the answer; and in response to the confidence value exceeding a threshold, generating a report that indicates the new source code section is subject to the ingested set of software compliance regulations. 5. The method of claim 4 further comprising: including the set of software compliance regulations in the report.
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