典型测试用例推荐与用例期望结果生成系统

Typical Test Case Recommendation and Expected Result Generation System

摘要:

测试领域在对公司产品质量的把控中至关重要，但不同测试人员在面向同一个测试产品时，会由于测试人员本身经验以及对产品功能的熟悉程度，导致测试不具备系统性，全面性。同时测试团队在长时间针对公司相关业务产品，或者开发人员在系统联试过程中，会形成大量具有典型意义的测试用例。但目前传统的做法并没有将该具有价值的测试用例深度分析。只是形成相关文档后汇总，就将该数据尘封。因此本文以典型测试用例为数据，以知识图谱为展现形式与存储形式，Bert实体提取为技术基础的推荐系统。根据用户输入，推荐出相关的典型测试用例。同时在某些行业，测试人员在实际工作业务中，需要花费大量时间对测试用例的输入，期望结果进行描述，形成正式文档用于保存记录。该系统可实现根据用例输入自动生成对应的期望结果，以提升测试人员的工作效率。

Abstract:

The testing field is crucial in controlling the quality of a company's products. However, when different testers face the same testing product, due to their own experience and familiarity with product functions, testing may not be systematic and comprehensive. At the same time, the testing team will generate a large number of typical test cases during long-term testing of company related business products, or during the system joint testing process of developers. However, the current traditional approach does not provide in-depth analysis of this valuable test case. Just compile the relevant documents and seal the data to dust. Therefore, this paper uses typical test cases as data, Knowledge graph as presentation form and storage form, and Bert entity extraction as the technical basis of the recommendation system. Based on the input of users, recommend typical test cases. At the same time, in some industries, testers need to spend a lot of time in actual work and business to describe the input of test cases and expected results, forming formal documents for saving records. This system can automatically generate corresponding expected results based on the input of use cases, in order to improve the work efficiency of testers.