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

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

Organization Name

Microsoft Technology Licensing, LLC

Inventor(s)

Vatsalya Agrawal of Sammamish WA (US)

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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