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NANJING MOOCTEST INFORMATION TECH CO LTD

Overview
  • Total Patents
    12
  • GoodIP Patent Rank
    143,594
About

NANJING MOOCTEST INFORMATION TECH CO LTD has a total of 12 patent applications. Its first patent ever was published in 2018. It filed its patents most often in China. Its main competitors in its focus markets computer technology, it methods for management and digital networks are NANJING YUNZHANGFANG NETWORK TECH CO LTD, BEIJING MINGLUE ZHAOHUI TECH CO LTD and KIRSHENBAUM EVAN R.

Patent filings in countries

World map showing NANJING MOOCTEST INFORMATION TECH CO LTDs patent filings in countries
# Country Total Patents
#1 China 12

Patent filings per year

Chart showing NANJING MOOCTEST INFORMATION TECH CO LTDs patent filings per year from 1900 to 2020

Top inventors

# Name Total Patents
#1 Chen Zhenyu 12
#2 Fang Chunrong 6
#3 Wang Xingya 6
#4 Zhao Yuan 4
#5 Sun Weisong 4
#6 Zhang Xin 3
#7 Xu Zhufeng 2
#8 Huang Yong 2
#9 Yuan Yangyang 2
#10 Han Qi 2

Latest patents

Publication Filing date Title
CN112070605A Ether house intelligent contract Gas optimization method based on peephole optimization
CN112073254A Performance test method for Ethernet bay block chain
CN112069050A Intelligent contract testing method based on multi-objective optimization
CN112069250A Prediction method of Ethernet shop transaction packing waiting time based on LSTM
CN111291376A Web vulnerability verification method based on crowdsourcing and machine learning
CN111290937A Extensible mobile application automatic test platform based on hybrid cloud
CN111290938A Android semi-automatic testing method based on manual assistance
CN111353304A Crowdsourcing test report aggregation and summarization method
CN110502417A A kind of Java test coverage analytical method based on static analysis
CN110502212A It is a kind of towards the multilingual online Development Support method of high concurrent
CN110377492A A kind of unit testing case generation method based on method similarity
CN110377493A A kind of unit testing use-case optimization method of code-oriented readability