Author | QCon Global Software Development Conference
Curated | Deng Yanqin
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In the context of the goal of improving the quality and efficiency of business testing, automated testing is the most important solution. In the face of a large number of mobile products and different business requirements, how to provide mobile automation solutions that meet business needs has become a technical problem that needs to be solved urgently. At the QCon Global Software Development Conference and Intelligent Software Development Ecology Exhibition held from April 11th to 13th, Zhu Hongbao, an expert in ByteDance's client testing technology, shared ByteDance's technical thinking, solutions and application practices in the field of mobile automation with the title of "Byte Mobile Intelligent Testing Practice". Capabilities such as page-element-level intelligent assertion solve the challenges of mobile automation in terms of scene coverage, stability, and effect return, explore the leverage effect of automated testing, and achieve large-scale quality and efficiency improvement for business testing teams. Click here to download the full slides It is understood that the mobile intelligent test platform has been applied in many of Byte's main products, including dozens of apps such as Toutiao, Watermelon Video, Tomato Novel, Doubao, Feishu and so on. Mr. Zhu said that based on LLM, they will also use the mature capabilities of the mobile intelligent test platform to realize the generation of text use cases from requirements documents, and the text use cases are automated use cases.
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The speech provided an opportunity for the audience to have an in-depth understanding of Byte's attempts and thoughts in the field of mobile intelligent testing. At the same time, it also triggered a wide discussion on how to use new methods to solve the problems in the field of traditional mobile automation and the development trend and prospect of mobile intelligent testing. In view of the empowerment of large models for mobile automation, he and the audience mainly had an in-depth discussion on the following scenarios:
- Application scenario 1: Use function-aware decision-making to solve the problems of low automation coverage and poor generalization ability: pass GUI page information to LLMs, generate automation scripts to drive app execution, and continuously pass feedback from the application testing process to LLMs, so as to realize the interaction between LLMs and mobile applications
- Application scenario 2: Special text may cause the application to crash, so it is necessary to generate a variety of abnormal inputs to comprehensively test the application: Combined with the LLM, it automatically generates abnormal text inputs that can cause app crash detection
- Application scenario 3: For the problem of application crash recurrence, the crash of mobile applications can be automatically reproduced according to the stack trace of the crash: a pre-trained large language model is used to predict the exploration steps that trigger the crash, and a technology based on reinforcement learning is designed to provide global guidance for application exploration and reduce inaccurate prediction results
QCon Beijing 2024 has come to a successful conclusion, and we look forward to seeing you on May 17-18 at the AICon Global Artificial Intelligence Development and Application Conference and Large Model Application Ecology Exhibition.
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This year's AICon has set up a total of 14+ topics, inviting more than 60 experts from leading companies such as Alibaba, Tencent, Baidu, Microsoft, ByteDance, Huawei, Zhipu, iFLYTEK, Baichuan, and the Dark Side of the Moon to share with you the most realistic first-hand experience in large-scale model development and application implementation, and conduct in-depth discussions on hot topics such as AI Agent, RAG, and industry innovative applications. Click to view the detailed agenda of the conference, the current 9% discount ticket purchase for the conference is in full swing, scan the QR code, purchase tickets or consult other questions.
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In the face of a large number of mobile products, how to provide a mobile automation solution that meets business needs?_Generative Selected articles _InfoQ AI_QCon Global Software Development Conference