Software quality management method and system based on association rule analysis

A software quality management and software quality technology, applied in the field of artificial intelligence, can solve complex, difficult to dig out or accurately determine the correlation, difficult to dig out data rules and value points and other problems

Pending Publication Date: 2019-07-05
JINAN INSPUR HIGH TECH TECH DEV CO LTD
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AI Technical Summary

Problems solved by technology

However, due to the large amount of data and complex calculations, it is difficult to dig out deep data rules and value points through human analysis alone, and it is difficult to dig out or accurately determine the correlation with software problems and the correlation with software quality. factor

Method used

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  • Software quality management method and system based on association rule analysis
  • Software quality management method and system based on association rule analysis
  • Software quality management method and system based on association rule analysis

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Embodiment Construction

[0039] The present invention will be further described below in conjunction with specific examples.

[0040] A software quality management method based on association rule analysis, the method selects association features to be studied based on association rule analysis and combined with business knowledge;

[0041] Using the APRIORI algorithm, the high-frequency item group is screened out from the original data according to the set minimum support threshold, and the vocabulary group that appears frequently under the same question in the software quality management database is selected, that is, the high-frequency item group, high The frequency item group is based on the minimum support;

[0042] Then calculate whether the confidence degree of the selected high-frequency item group meets the minimum confidence degree;

[0043] Finally, the rules generated by the item group satisfying both the minimum support and minimum confidence are classified as association rules related t...

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Abstract

The invention discloses a software quality management method and system based on association rule analysis, and belongs to the technical field of artificial intelligence. The method comprises the steps of selecting a vocabulary group, namely a high-frequency project group, with the higher occurrence frequency in the same problem in a software quality management database based on the association rule analysis; calculating whether the confidence coefficient of the selected high-frequency project group meets the minimum confidence coefficient or not; and finally, dividing the rules generated by the project group simultaneously meeting the minimum support degree and the minimum confidence degree into association rules with the software quality problem. The software quality management system based on the association rule analysis comprises a software quality management database, a data preprocessing module, an association rule analysis module and a strong association rule generation module.According to the present invention, the main problems of the software are quickly found by utilizing a correlation analysis method, so that the software problems can be maintained and repaired in a targeted manner, and the work can be finished with higher quality and high efficiency.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a software quality management method and system based on association rule analysis. Background technique [0002] With the advent of the fourth industrial revolution era and the rapid development of information technology, a large number of software to help society improve digitization and automation have been developed by Internet of Things companies and software companies. Therefore, software quality management has also become an important topic. [0003] Usually software companies will build their own database to record, classify and summarize software problems reported by customers. However, due to the large amount of data and complex calculations, it is difficult to dig out deep data rules and value points through human analysis alone, and it is difficult to dig out or accurately determine the correlation with software problems and the correlation with softw...

Claims

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Application Information

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IPC IPC(8): G06F11/36
CPCG06F11/3604
Inventor 安程治李锐于治楼高明
Owner JINAN INSPUR HIGH TECH TECH DEV CO LTD
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