View source for 17851434. USING A SEMANTIC TREE OF A COMPILER TO EXECUTE A SEMANTIC CODE QUERY AGAINST SOURCE CODE simplified abstract (Microsoft Technology Licensing, LLC)

=USING A SEMANTIC TREE OF A COMPILER TO EXECUTE A SEMANTIC CODE QUERY AGAINST SOURCE CODE=


==Organization Name==

[[:Category:Microsoft Technology Licensing, LLC|Microsoft Technology Licensing, LLC]]


[[Category:Microsoft Technology Licensing, LLC]]

==Inventor(s)==

[[:Category:Vatsalya Agrawal of Sammamish WA (US)|Vatsalya Agrawal of Sammamish WA (US)]][[Category:Vatsalya Agrawal of Sammamish WA (US)]]

[[:Category:Manish Vasani of Rajkot (IN)|Manish Vasani of Rajkot (IN)]][[Category:Manish Vasani of Rajkot (IN)]]

[[:Category:Amaury Jacques Patrice Lev� of Prague (CZ)|Amaury Jacques Patrice Lev� of Prague (CZ)]][[Category:Amaury Jacques Patrice Lev� of Prague (CZ)]]

==USING A SEMANTIC TREE OF A COMPILER TO EXECUTE A SEMANTIC CODE QUERY AGAINST SOURCE CODE - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17851434 titled 'USING A SEMANTIC TREE OF A COMPILER TO EXECUTE A SEMANTIC CODE QUERY AGAINST SOURCE CODE

==Simplified Explanation==

The techniques described in this patent application involve using a semantic tree of a compiler to execute a semantic code query against source code. Here are the key points:

* An object model representing the source code is generated, including a semantic tree based on a grammar defined by the object model and an API exposed by the compiler.
* A semantic code query, written in a code query language associated with the compiler, is received as input.
* The query includes search criteria, and the API is used to determine a portion of the source code that satisfies the criteria.
* The result of the query is provided, identifying the portion of the source code that meets the search criteria.

==Potential Applications==
* Code analysis and debugging: This technology can be used to search for specific patterns or issues in source code, helping developers identify and fix bugs or optimize their code.
* Code refactoring: By querying the source code, developers can identify areas that need to be refactored or improved, making their code more efficient and maintainable.
* Documentation generation: The semantic code query can be used to extract relevant information from the source code, which can then be used to automatically generate documentation for the codebase.

==Problems Solved==
* Efficient code search: Traditional text-based code search can be slow and imprecise. By using a semantic tree and a code query language, this technology allows for more accurate and efficient searching of source code.
* Code understanding: The semantic tree provides a structured representation of the source code, making it easier to understand and analyze complex codebases.
* Integration with compiler APIs: By leveraging the compiler's API, this technology can access detailed information about the source code, enabling more powerful and context-aware code queries.

==Benefits==
* Improved developer productivity: By providing a more efficient and accurate way to search and analyze source code, this technology can help developers save time and effort in understanding and maintaining codebases.
* Enhanced code quality: The ability to query and analyze source code can help identify and fix issues, leading to higher-quality code.
* Automation and documentation: By automatically extracting information from the source code, this technology can assist in generating documentation and other automated tasks, reducing manual effort.


==Original Abstract Submitted==

Techniques are described herein that are capable of using a semantic tree of a compiler to execute a semantic code query against source code. An object model representing the source code is generated. The object model includes the semantic tree, which is based at least in part on a grammar defined at least in part by the object model and an application programming interface (API) exposed by the compiler. The semantic code query, which is written in a code query language associated with the compiler, is received as an input to the compiler. The semantic code query includes search criteria. A portion of the source code that satisfies the search criteria is determined using the API. A result of the semantic code query is provided. The result identifies the portion of the source code that satisfies the search criteria.



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