Testin cloud testing has launched the exploration of large model + software testing, the technological innovation path of industry leaders

In an era of rapid changes in information technology, the software industry is booming and the demand for high-quality software continues to increase. As an important part of ensuring software quality, software testing is indispensable for all types of software companies.

According to the "2023-2028 China Software Testing Industry In-depth Analysis and Development Prospects Forecast Report" written by Zhongyan Puhua Research Institute, it shows that: in the software industry, the more developed In our country, the software testing industry has formed a large scale and is relatively developed. Software testing has not only become an important part of software development, but also occupies a considerable proportion in the entire software development system engineering. Within Microsoft, the ratio of software testers to software developers is generally about 1.5:1 to 2.5:1, that is, behind one developer, there are at least two testers working to ensure the quality of software products.

##In the deep learning and software industry represented by large model technology After the combination, software testing is also becoming one of the industries that is upgrading and transforming large models. The application of large models can enable the software testing process to achieve a higher degree of automation and more accurate results.

It is understood that the current leader in domestic software testing--Testin cloud testing has begun to explore the use of large-scale cloud testing Model-assisted code generation is estimated to increase software development efficiency by 20% to 30%. At the same time, Testin Cloud Testing is also testing and evaluating domestic and foreign open source large model capabilities, trying to use large models to assist software testing links such as test case analysis, test requirements analysis, and test report interpretation. Judging from the test results, it can also reach 20 % to 30% efficiency improvement.

#At the 2023 World Artificial Intelligence Conference, the technical trend of using large models to test large models has begun to emerge. The introduction of large models allows us to perform most of the testing work through machine automation, which greatly improves our work efficiency. In addition, large models can also help us understand the functionality and performance of the software more deeply and comprehensively, thereby identifying possible problems and errors more accurately.

With the expansion of the software market, more domestic companies have begun to realize the importance of software testing. The software testing industry is moving towards intelligent testing and testing. As for the application of large models in the software industry, more industry experts say that this will be the future and new growth point of the software testing industry.

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