Conversation robot test case generation method, device, equipment and storage medium

A test case generation and dialogue robot technology, applied in the field of artificial intelligence, can solve the problems of long test regression cycle, few scenarios, slow generation efficiency, etc., and achieve the effect of shortening regression analysis cycle, reducing resource consumption, and improving generation efficiency

Pending Publication Date: 2021-12-10
CHINA PING AN LIFE INSURANCE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The technology described by this patented allows for efficient testing with reduced resources usage compared to traditional methods like manually creating tests or analyzers that require large amounts of space. It achieves these benefits through transformation from one form into another format called structure-based data (SDF). This helps reduce costs while still giving full access to sites where they are needed more efficiently.

Problems solved by technology

This patented describes how speech bags can help people interact more easily when they want something done better than just asking them directly instead of waiting on holders at specific locations. It suggests developing an automatic testing system where users inputs their questions over time based on expected responses from previous tasks without having manual effort.

Method used

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  • Conversation robot test case generation method, device, equipment and storage medium
  • Conversation robot test case generation method, device, equipment and storage medium
  • Conversation robot test case generation method, device, equipment and storage medium

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Embodiment Construction

[0030] Solve the existing technical problems of slow test case generation efficiency and few scenarios, which lead to a long test regression cycle. In this regard, this application proposes a method for automatically generating task-based robot test cases based on a graph traversal algorithm, which is converted into structured data based on the product requirement flow chart, specifically in the form of a YML file, mainly because the YML file is easily read. The characteristics of program identification and analysis, and then parse the YML file to obtain a directed weighted graph, based on the directed weighted graph, use the graph traversal algorithm to convert it into a path test instance, thereby generating test cases that can cover all requirements, such a method It not only improves the construction speed of test cases, but also realizes the simultaneous realization of multiple tasks, reduces the resource consumption of manual construction, and automatically builds test cases

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Abstract

The invention relates to the field of artificial intelligence, and discloses a conversation robot test case generation method, a device, equipment and a storage medium. The method comprises the following steps: converting a flow chart based on product requirements into structured data, specifically in the form of a YML file, mainly utilizing the characteristic that the YML file is easily recognized and analyzed by a program, then analyzing the YML file to obtain a directed weighted graph, converting the directed weighted graph into a path test instance by utilizing a graph traversal algorithm based on the directed weighted graph, thereby generating a test case that can cover all requirements. According to the method, the construction speed of the test cases is increased, multiple tasks are achieved at the same time, resource consumption of manual construction is reduced. Meanwhile, the test cases with the multiple tasks executed at the same time are automatically constructed, the test efficiency is greatly improved. Meanwhile, the regression analysis period during testing is shortened, and the use experience of a user on the conversation robot is improved.

Description

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Claims

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Application Information

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Owner CHINA PING AN LIFE INSURANCE CO LTD
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