Software code vectorization converter

A code converter uses machine learning to determine conflicts and redundancies in software code. Generally, the code converter uses machine learning to convert software code into vectors that represent the code. These vectors may then be compared with other vectors to determine similarities between...

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Bibliographic Details
Main Authors Sundaram, Vaasudevan, M R, Srinath, Bhasin, Samrat, Santhappa Durai, Prince Noel Pradeep, Krishnamoorthy, Madhusudhanan
Format Patent
LanguageEnglish
Published 10.10.2023
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:A code converter uses machine learning to determine conflicts and redundancies in software code. Generally, the code converter uses machine learning to convert software code into vectors that represent the code. These vectors may then be compared with other vectors to determine similarities between code. The similarities may be used to detect conflicts and/or redundancies created during the development process (e.g., when a developer attempts to change the code).
Bibliography:Application Number: US202016903581