Demand-based software test scheme recommendation method and storage medium

By building a test solution library and combining feature word extraction, traditional software testing methods are solved, and the automated solution recommendation for new software needs is achieved, and testing efficiency and coverage are improved.

CN119938517APending Publication Date: 2025-05-06CHINA ELECTRONIC TECH GRP CORP NO 38 RES INST
0 Cites 0 Cited by

Patent Information

Application Number
CN202411810739.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-10
Publication Date
2025-05-06

AI Technical Summary

Technical Problem

Traditional software testing methods are difficult to respond to changing demands efficiently, resulting in inefficiency in testing and waste of resources. Especially in professional fields, the diversity and professionalism of testing needs make formulating reasonable testing plans a complex task.

Method used

By obtaining historical project data and software requirements data to be tested, a test solution library is constructed, and feature extraction is performed on the recommended software requirements, the correlation between the first feature vector and the second feature vector is obtained, and the test solutions in the test solution library are sorted according to the correlation, and the final test solution is finally obtained.

Benefits of technology

It realizes the recommendation of automated solutions for the new software to be tested, improves testing efficiency, reduces the repetition rate of test design, and improves the comprehensiveness and coverage of software testing.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The embodiment of the invention provides a demand-based software testing scheme recommendation method and a storage medium, and belongs to the technical field of software testing. The method comprises the following steps: acquiring historical project data and to-be-tested software demand data; constructing a test scheme library according to the historical project data; according to the test scheme library, carrying out feature extraction on recommended software requirements; extracting feature words of the demand data and the recommended software demand to obtain a first feature vector and a second feature vector; obtaining the correlation between the first feature vector and the second feature vector; sorting the test schemes in the test scheme library according to the correlation; and obtaining a final test scheme according to the sequence and the demand.
Need to check novelty before this filing date? Find Prior Art