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AI large Model accelerates the intellectualization of China's Software testing Industry

2025-01-30 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > IT Information >

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With the progress of science and technology and the rapid development of artificial intelligence (AI), the software testing industry is facing great changes. Especially in China, the application of AI model is promoting the development of software testing industry towards a more intelligent direction.

In the future software testing field, AI will play a vital role. By using AI, test engineers can generate test cases automatically without having to write complex code by hand. In addition, AI can help identify and predict possible software errors, thereby improving the quality and reliability of software. AI can also simulate user behavior and provide developers with feedback on how to optimize the user experience.

Testin Cloud testing, as a leader in China's software testing industry, has been committed to promoting the application of AI in software testing. It is understood that Testin cloud testing based on AI automated testing tool can automatically generate test cases, greatly reducing the burden of test engineers.

Testin Cloud testing is trying to apply large models to the entire software testing process, Chen Guancheng, CTO of Testin Cloud testing, said in an interview. Now we are beginning to explore the use of large models to assist in code generation, and we estimate that software development efficiency will increase by 20 to 30 per cent. At the same time, we are also testing and evaluating the open source large model capabilities at home and abroad, trying to use large models to help test case analysis, test requirements analysis, test report interpretation and other software testing links, from the test results, can also achieve 20% to 30% efficiency improvement.

The industry holds a positive view on the application of AI model in the software testing industry. Many experts believe that AI will make software testing more accurate and efficient. AI can effectively reduce human errors and automatically adapt to the changing test environment. In addition, the AI large model can provide deeper insights for software testing. By analyzing a large amount of data, AI can find problems that human beings may ignore, thus helping to improve the quality of software.

Generally speaking, the AI model is promoting the development of China's software testing industry towards a more intelligent direction. In the future, we can foresee a more automated, efficient and accurate software testing environment. At the same time, we also look forward to seeing more companies like Testin cloud testing actively explore and apply the possibility of AI in software testing.

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