Dell products l.p. (20240232062). METHOD, ELECTRONIC DEVICE, AND PROGRAM PRODUCT FOR BUG CLASSIFICATION simplified abstract
Contents
METHOD, ELECTRONIC DEVICE, AND PROGRAM PRODUCT FOR BUG CLASSIFICATION
Organization Name
Inventor(s)
METHOD, ELECTRONIC DEVICE, AND PROGRAM PRODUCT FOR BUG CLASSIFICATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240232062 titled 'METHOD, ELECTRONIC DEVICE, AND PROGRAM PRODUCT FOR BUG CLASSIFICATION
- Simplified Explanation:**
The patent application describes a method, device, and medium for bug classification during product testing. It involves using computing models to classify bugs automatically, presenting the classification information to users, and retraining the models based on user interaction to improve accuracy and efficiency.
- Key Features and Innovation:**
- Method for bug classification during product testing
- Use of computing models for automatic bug classification
- User interaction to improve model performance
- Dynamic adjustment of computing models through retraining
- Potential Applications:**
This technology can be applied in software development, quality assurance, and bug tracking systems to streamline bug classification processes and improve overall efficiency.
- Problems Solved:**
- Manual bug classification processes are time-consuming and prone to errors
- Difficulty in ensuring accuracy and consistency in bug classification
- Lack of dynamic adjustment in bug classification models
- Benefits:**
- Automated bug classification for faster and more accurate results
- Improved efficiency in bug processing during product testing
- Dynamic adjustment of computing models for enhanced performance
- Commercial Applications:**
Potential commercial applications include software development companies, quality assurance firms, and organizations with bug tracking systems looking to optimize bug classification processes and improve overall product quality.
- Questions about Bug Classification:**
1. How does automatic bug classification benefit software development teams?
- Automatic bug classification saves time and improves accuracy in identifying and resolving bugs during product testing.
2. What are the advantages of retraining computing models for bug classification?
- Retraining computing models allows for dynamic adjustment and continuous improvement in bug classification accuracy and efficiency.
Original Abstract Submitted
embodiments of the present disclosure provide a method, an electronic device, and a medium for bug classification. the method includes determining, based on description information of a bug generated during product testing, classification information of the bug through at least one trained computing model; presenting the classification information of the bug; determining, based on user interaction for the presented classification information, whether performance of the at least one computing model satisfies a predetermined condition; and determining that the at least one computing model needs to be retrained in response to determining that the performance of the at least one computing model does not satisfy the predetermined condition. in this way, automatic classification of the bug is realized, and the computing model can be dynamically adjusted by retraining, so as to ensure accuracy of the automatic classification and improve efficiency of bug processing.
