Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Software defect detection method for effective data processing

A technology for software defects and detection methods, which is applied in electrical digital data processing, software testing/debugging, error detection/correction, etc. Asymmetry and other problems to achieve the effect of improving test performance

Inactive Publication Date: 2018-05-15
XIAMEN UNIV OF TECH
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the face of huge and complex software systems, software defects are frequent problems in computer software. In the entire life cycle of software, software defects have become an important factor affecting software quality. Finding and troubleshooting software defects is an important task. However, finding It takes a lot of manpower and material resources to eliminate software defects
Although the data acquisition methods of different degree elements are different, different metric elements are not differentiated in the prediction algorithm, but the prediction algorithm is universal. In the prior art, the dictionary learning method is used in software defect detection, but the conventional The dictionary learning algorithm cannot effectively use the discriminative properties of different types of books in the data set, and at the same time, the asymmetry in the algorithm is not considered in the classification evaluation. Therefore, it is imperative to provide a software detection method with effective data processing

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Software defect detection method for effective data processing
  • Software defect detection method for effective data processing
  • Software defect detection method for effective data processing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] In order to make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are the Some, but not all, embodiments of the invention. The above and / or other aspects will become apparent and more easily understood from the following description of exemplary embodiments taken in conjunction with the accompanying drawings.

[0021] In the software development process, generally after the requirements analysis, software design, and program module coding process, the program modules are submitted to the automatic software quality auxiliary control device for processing, and the defect status of each module is output. If there are still modules containing defects, the developer will be notified Debug and modify i...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a software defect detection method for effective data processing. The method includes the steps of firstly, detecting a received software module, obtaining an original softwaremeasurement data set, and conducting preprocessing on the data of the original software measurement data set to divide the data into a training sample and a testing sample; forming a dictionary learning model for the training sample data, discriminating and structuralizing a dictionary, adopting an asymmetric classifier for conducting performance assessment, detecting and shifting the testing sample, using the module to conduct defect detection on the software detection module, feeding back an assessment result to a tester, and completing the whole detection. By means of the software defect detection method for effective data processing, the expression capability of the dictionary can be improved, great discrimination performance is achieved, errors caused by unbalanced data are effectively solved at the same time, and the positions of the software defects are accurately located.

Description

【Technical field】 [0001] The invention relates to the field of software engineering, in particular to a software defect detection method for effective data processing. 【Background technique】 [0002] Software is the soul of information systems, the foundation and an important pillar for the realization of informatization in all walks of life. In order to adapt to the complicated application requirements in real world problems, software system functions are becoming more and more complicated. high. In the face of huge and complex software systems, software defects are frequent problems in computer software. In the entire life cycle of software, software defects have become an important factor affecting software quality. Finding and troubleshooting software defects is an important task. However, finding It takes a lot of manpower and material resources to detect and eliminate software defects. In 2006, the United States spent approximately $78 billion in costs related to sof...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/36
CPCG06F11/3684
Inventor 马樱朱顺痣翁伟王琰
Owner XIAMEN UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com