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US Patent 11893387 Systems and methods for software quality prediction

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Is a
Patent
Patent
0

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
118933870
Patent Inventor Names
Daniel Pecoraro0
Anil Kumar Pandurangarao0
Date of Patent
February 6, 2024
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Patent Application Number
177214570
Date Filed
April 15, 2022
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Patent Citations
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US Patent 10585780 Enhancing software development using bug data
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US Patent 10482000 Machine learned decision guidance for alerts originating from monitoring systems
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US Patent 10489270 Time-weighted risky code prediction
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US Patent 8843882 Systems, methods, and algorithms for software source code analytics and software metadata analysis
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US Patent 9176729 System and method for prioritizing and remediating defect risk in source code
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US Patent 9430359 Identifying and resolving software issues
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US Patent 9542176 Predicting software build errors
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US Patent 9934131 Using model-based diagnosis to improve software testing
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...
Patent Primary Examiner
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Ryan D. Coyer
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Patent abstract

Systems and methods in accordance with embodiments of the invention can automatically track the creation of documents, such as source code files and unit tests, along with the development of those documents. A variety of metrics can be generated regarding errors and issues identified during the development process along with predictive metrics regarding potential issues within the documents. These metrics can be used to identify common issues, automatically generate proactive suggestions to avoid issues during document creation and testing, and/or generate developer profiles indicating the performance of particular developers. A variety of machine learning classifiers can be used to generate the metrics.

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