Typical Test Case Recommendation and Expected Result Generation System
It is essential for testing field in controlling the product quality of the companies.However,when different testers face the same test product,the test results may not be systematic and comprehensive due to their own experience and familiarity with prod-uct functions.At the same time,the test team of the system will generate many typical test cases during the long-term test of the re-lated business products or joint testing process of developers.However,traditional methods do not provide the in-depth analysis of these valuable test cases,only collect the relevant documents and seal up the data for keeping.Therefore,typical test cases are taken as data,knowledge graph as presentation form and storage form,and Bert entity extraction as the technical basis of the recommenda-tion system.The related typical test cases based on user input are recommended.At the same time,it takes a lot of time for testers to describe the input of test cases and expected results in the actual work and business of some industries,and form the formal docu-ments for saving records.This system can automatically generate the corresponding expected results based on the input of use cases to improve the work efficiency of testers.
typical test caseBertknowledge graphentity extractiontext generation
万方数据
维普
