Áp dụng LLM trong kiểm thử phần mềm

What is a large language model (LLM)?

• An traditional automated testing software

• An AI model trained on large data to understand and generate text

• A tool used to test hardware performance

• A new programming language for testing

Why are LLMs used in software testing?

• To completely replace manual testing

• To automate tasks, increasing efficiency and scope of testing

• To design user interfaces

• To manage project resources

Which of the following is NOT a typical application of LLM in testing?

• Automatically generating test cases from requirements

• Detecting security vulnerabilities in source code

• Designing relational databases

• Analyzing system logs for anomalies

What is the main benefit of using LLM in testing?

• Completely eliminate the need for QA

• Reduce time and cost of manual testing

• Increase the complexity of the testing process

• Only support English interface testing

How can LLM assist in user interface (UI) testing?

• Only test the interface in English

• Support multi-language interface testing

• Design new interfaces

• Not support UI testing

In API testing, what can LLM do?

• Only create API documentation

• Generate input data and test API responses

• Completely replace Postman tools

• Only test API performance

What is a limitation of LLM in testing?

• Cannot integrate with tools like JIRA

• May produce inaccurate results if the input is ambiguous

• Only works on Windows operating system

• Does not support security testing

What type of errors can LLM help detect in the source code?

• Only syntax errors

• Syntax, logic, and security errors

• Only performance errors

• Cannot detect source code errors

What is necessary to use LLM effectively in testing?

• High-quality training data

• Dedicated hardware for testing

• No training data needed

• Only a nice user interface

Which application of LLM is related to log analysis?

• Creating user interfaces

• Detecting anomalies in system logs

• Writing new source code

• Testing server performance