International business machines corporation (20240126513). PERFORMING CODE COMPLETION USING DATA FLOW simplified abstract

PERFORMING CODE COMPLETION USING DATA FLOW

Organization Name

international business machines corporation

Inventor(s)

Wenting Zhao of Ithaca NY (US)

IBRAHIM Abdelaziz of TARRYTOWN NY (US)

Julian Timothy Dolby of Bronx NY (US)

Kavitha Srinivas of Port Chester NY (US)

PERFORMING CODE COMPLETION USING DATA FLOW - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240126513 titled 'PERFORMING CODE COMPLETION USING DATA FLOW

Simplified Explanation

The abstract describes a patent application for a system that accesses a corpus of source code to train a language prediction model, which is then used to predict the completion of a given line of code in a program.

• The innovation involves training a language prediction model on a corpus of source code.
• The system uses the trained model to predict the completion of a line of code in a given program.
• The completion of the line is based on the prediction made by the language prediction model.

Potential Applications

This technology could be applied in:

• Code editors to provide auto-completion suggestions.
• Code review tools to identify potential errors or improvements in code.

Problems Solved

This technology helps:

• Improve coding efficiency by providing accurate code completions.
• Enhance code quality by suggesting correct code snippets.

Benefits

The benefits of this technology include:

• Streamlining the coding process.
• Enhancing the accuracy and quality of code.

Potential Commercial Applications

A potential commercial application for this technology could be:

• Integration into Integrated Development Environments (IDEs) to improve developer productivity.

Possible Prior Art

One possible prior art for this technology is:

• Code completion features in IDEs that suggest code snippets based on context.

How does the system handle different programming languages in the corpus of source code?

The system likely uses language-specific models or techniques to train the language prediction model for each programming language.

What is the accuracy of the completion predictions made by the system?

The accuracy of the predictions would depend on the quality of the training data and the effectiveness of the language prediction model.

Original Abstract Submitted

a corpus of source code from a code database is accessed and a language prediction model is trained based on the corpus of source code. a given program is accessed and a completion of a given line of the given program is predicted by performing inferencing using the language prediction model and at least a portion of the given program. the given line is completed based upon the prediction.