The functionalities of AI-powered mobile apps or systems heavily depend on the given training dataset. The challenge, in this case, is that a learning system will change its behavior due to a slight change in the data...
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(纸本)9798350365054
The functionalities of AI-powered mobile apps or systems heavily depend on the given training dataset. The challenge, in this case, is that a learning system will change its behavior due to a slight change in the dataset. Current alternative approaches for evaluating these apps either focus on individual performance measurements such as accuracy, etc. Inspired by principles of the decision tree test method in software engineering, this paper provides a tutorial discussion on intelligent AI testmodelingchat systems including basic concepts, validation process, testing scopes, approaches, and needs. The report is about an intelligent AI testmodelingchatbot system that is built and implemented based on an innovative 3d AI test model for AI-powered functions in intelligent mobile apps to support model-based AI function testing, testdata generation, auto test scripting and execution, and adequate test coverage analysis.
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