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To resolve the industry's difficulties and pain points, AI blessing cloud testing has become a difficult point in the test industry in a new direction, and the pain point enterprises have actively explored and practiced the securities industry as a key breakthrough with the help of advantages

author:The forefront of AI business

Text/Running Rhinoceros

With the rapid iterative upgrading of digital technologies such as artificial intelligence, 5G, and big data, digital transformation is becoming a new competitive strategic highland. The role played by digital technology in promoting the development of the real economy has also changed from a single auxiliary improvement role to an important helper in empowering the digital transformation of enterprises from many aspects such as technology, efficiency and effectiveness.

As a new model of applying AI technology and providing test services based on the cloud platform, cloud testing uses cloud provisioning and use of test tools, test equipment, and test engineers to solve the testing needs of enterprise software and systems that cover the whole life cycle of function, performance, compatibility, automation, security, etc. From September 25th to 26th, Chen Guancheng, CTO of Testin Cloud Test, a leading artificial intelligence-driven enterprise service platform in China, attended the 2021 Global Software Quality and Performance Conference, and introduced the application practice of AI technology in automated testing in the keynote speech, which became the most concerned topic sharing in the industry and enterprise users. It is foreseeable that the wave of digital transformation will eventually be deeply integrated into the country's hundreds of industries, and through digital practice in various industries, cloud testing will help enterprises continue to deepen digital transformation and promote economic growth and new social development.

To resolve the industry's difficulties and pain points, AI blessing cloud testing has become a difficult point in the test industry in a new direction, and the pain point enterprises have actively explored and practiced the securities industry as a key breakthrough with the help of advantages

Testin Cloud Testing CTO Chen Guancheng

<h1 class="pgc-h-arrow-right" data-track="5" > the difficulties and pain points of the testing industry</h1>

"Intelligence, cloud native, business value, synergy and efficiency". This is the theme and direction of the 2021 Global Software Quality and Performance Conference. Under the background of the new round of scientific and technological revolution and industrial change, the integration of emerging digital technologies such as cloud computing and artificial intelligence with the real economy not only brings great opportunities, but also puts forward higher requirements for product development, testing, operation and maintenance.

Taking the testing industry as an example, under the influence of technologies such as artificial intelligence, agile testing and de-QE have become the main trends in the industry, which has led to the vigorous development of cloud testing, cloud native and other application services. At the same time, as the complexity of the software backend continues to increase, the requirements for knowledge and technology accumulation are getting higher and higher, which poses greater challenges for testing.

In this context, the test industry that integrates digital technologies such as artificial intelligence, cloud computing, and big data urgently needs to develop various industry practices and explore and precipitate a systematic test system. Especially under the trend of rapid development of microservices and cloud computing technology, ensuring a safe and reliable cloud test service platform has also become an inevitable choice.

<h1 class="pgc-h-arrow-right" data-track="19" > head enterprises actively explore and practice with the help of advantages</h1>

At present, the main players in the cloud testing industry in addition to some Internet giants, there are also leading enterprises such as Testin Cloud Testing. They have fully realized that compared with the concept of "nothingness and no marginality", what needs to be paid more attention to by enterprises is to effectively explore best practices and combine leading technologies as a guarantee to achieve high-quality development of the industry and enterprises.

Testin cloud testing is to integrate the relevant production materials and productivity of the test industry to optimize the configuration, and at the same time apply AI technology to the entire cloud test, making the test more intelligent and efficient.

Chen Guancheng said that the core capabilities and advantages of Testin cloud test AI automation include: a new natural language script writing method, which makes script writing efficient, easy to understand, and easy to maintain; the application of the new AI version of OCR technology, which makes the script easy to maintain and the execution stability is higher; the new AI version of the icon classification technology is applied to achieve common icon semantics; the new image recognition matching algorithm, and the image recognition robustness is better.

According to reports, through the convergence of resources and technological innovation, cloud testing for enterprise software and systems to provide a full life cycle of cloud testing services, based on the planning of the test system, services cover DevOps system consulting, test management digitalization, functional testing, performance testing, compatibility testing, security testing, automated testing, automated monitoring, remote real machine and other services, with a new cloud testing model for enterprises to provide efficient, low-cost testing resources and services.

<h1 class="pgc-h-arrow-right" data-track="20" > the securities industry has become a key breakthrough</h1>

2021 is both the beginning of the 14th Five-Year Plan and a critical year for digital transformation. At the arrival of this year's 5.17 Telecom Day, Xu Kun, president of Testin Cloud Testing, once said that in a complex market environment, enterprises that establish absolute advantages in efficiency will take the lead, and digital transformation is a high-speed channel to improve the core efficiency of enterprises.

At present, the digital transformation of the securities industry is ushering in a new pattern of coexistence of opportunities and challenges. On the one hand, continuously promoting the digital transformation of the industry with leading technology has become the only way for securities companies to achieve business innovation and improve service quality; on the other hand, while actively introducing new technologies to break through the limitations of traditional business, securities companies have also put forward higher requirements for software quality. This is embodied in the following three aspects: first, the number of software, data volume, software complexity, etc. are exponential growth; second, more attention is paid to the balance between software development efficiency and cost; third, in the process of new construction, upgrading, and change of information systems, it is necessary to carry out sufficient testing and demonstration. In the face of these challenges, the rapid development of Testin cloud testing provides the industry with a set of practical and effective solutions.

At present, Testin Cloud Test has established long-term and stable cooperative relations with well-known domestic securities companies, including Huatai Securities, Founder Securities, Hengtai Securities, etc., to help the digital transformation and high-quality development of the securities industry. According to statistics, brokerage customers who have reached cooperation with Testin Cloud Test currently account for more than half of the number of brokers in the country. Xu Kun introduced that in the next few years, China's financial market will certainly show explosive growth, Testin cloud test will continue to innovate and develop, through the application of AI automation technology, further reduce the cost expenditure and investment of enterprises, so that the cost reduction and efficiency effect has been further improved, escorting the digital transformation and intelligent upgrading of enterprises.

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