Software component defect prediction using classification models that generate hierarchical component classifications

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United States of America Patent

PATENT NO 11467817
APP PUB NO 20200241861A1
SERIAL NO

16259454

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Abstract

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Systems and methods for facilitating updates to software programs via machine-learning techniques are disclosed. In an example, an application generates a feature vector from a textual description of a software defect by applying a topic model to the textual description. The application uses the feature vector and one or more machine-learning models configured to predict classifications and sub-classifications of the textual description. The application integrates the classifications and the sub-classifications into a final classification of the textual description that indicates a software component responsible for causing the software defect. The final classification is usable for correcting the software defect.

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Patent Owner(s)

  • ADOBE INC.

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Challis, Christopher Alpine, US 4 10
Zhang, Wei Great Falls, US 2317 17796

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