DragonTesting released a deep intelligence software testing SaaS platform on December 2018.It uses software to find bugs in software. It targets all major software types, including Web, Android/iOS, PC applications and more. Three PhDs from a Top 5 software testing lab in UNL constructed this platform together. The core is the data-driven test code automatic generation engine based on model. Current customers include Xiaomi, Tsinghua Tongfang, China Telecom and other Unicorn or Fortune 500 companies.

UI-based functional testing is the key phase in the field of software testing, and it is also the part of the testing process that consumes the most time and resources (about 70% of the total test life cycle), especially the regression test in the iterative phase. At present, the manual test (slow speed, incomplete test coverage, high cost, poor results) is difficult to meet the realistic requirements of rapid development, and providing a fast and efficient automated test solution is one of the most effective ways to solve the above problems.

DragonTesting has launched two UI-based automated test products: DragonTesting No. 1 (semi-automated) and DragonTesting No. 2 (Customized Full Automation). These two products use the world's leading test code generator technology to let tester draw graph to generate testing code and to achieve full coverage of business processes, automatic path combinations, rapid generation of UI-based test code, automatic operation and generation of test reports. The tool can help companies to achieve fast, efficient, low-cost testing purposes. This product line is suitable for mobile phone application, Web application, PC and other application scenarios. It is based on its own test code generation engine technology, and can generate testing code based on mainstream UI testing frameworks.


  • Dr. Jiangfan Shi
    Founder & CEO
    In 2012, he received his PhD in software testing from the department of computer science and engineering at the University of Nebraska-Lincoln. According to Google According to Scholar, his papers has been cited more than 700 times. He has worked for IBM, Microsoft and Expedia at testing position. In 2017, he won the title of leading scientist in Suzhou Industrial Park.
  • He Yue
    Marketing Leader
    Bachelor's degree from Beijing Foreign Studies University. She has worked in the National Development and Reform Commission for many years and has a good grasp of government policy formulation, government relations, and development strategies. She has been a department marketing director for many years in Siemens(China) and has successfully signed several hundred million yuan-level transportation projects. She owns good operational capacity for large projects and strong market sensitivity and insight.
  • Dr. Zhimin Wang
    Chief Testing Adviser
    In 2008, he received his Ph.D. in software testing from the Department of Computer Science and Engineering at the University of Nebraska-Lincoln.He has published papers at premium conferences in the field of Software Engineering, such as ICSE, FSE and TSE. Since joining Microsoft in 2008, he has been working on teams such as Windows and Azure.


  • Dr. Du Li
    Chief AI Adviser
    In 2012, he received a Ph.D. in Software Engineering from the University of Nebraska-Lincoln. From 2012 to 2015, he was a post-doctoral researcher at the Carnegie Mellon University. He is currently a Senior Engineer in Artificial Intelligence infrastructure team at Microsoft to serve hundreds of millions of users. He has deep academic literacy and extensive product development experience in Software Testing and Artificial Intelligence.
  • Professor Atanas Rountev
    Chief Technical Adviser
    An internationally recognized expert in software analysis and testing. His general research interests are software engineering, programming languages and compilers. In particular, he is interested in topics such as static and dynamic program analysis, Android applications, software understanding and testing, and high performance computing.