In order to study deeply the prominent problems faced by China’s clean government work,and put forward effective coping strategies,this article analyzes the network information of anti-corruption related news events,...In order to study deeply the prominent problems faced by China’s clean government work,and put forward effective coping strategies,this article analyzes the network information of anti-corruption related news events,which is based on big data technology.In this study,we take the news report from the website of the Communist Party of China(CPC)Central Commission for Discipline Inspection(CCDI)as the source of data.Firstly,the obtained text data is converted to word segmentation and stop words under preprocessing,and then the pre-processed data is improved by vectorization and text clustering,finally,after text clustering,the key words of clean government work is derived from visualization analysis.According to the results of this study,it shows that China’s clean government work should focus on‘the four forms of decadence’issue,and related departments must strictly crack down five categories of phenomena,such as“illegal payment of subsidies or benefits,illegal delivery of gifts and cash gift,illegal use of official vehicles,banquets using public funds,extravagant wedding ceremonies and funeral”.The results of this study are consistent with the official data released by the CCDI’s website,which also suggests that the method is feasible and effective.展开更多
Compilers are widely-used infrastructures in accelerating the software development,and expected to be trustworthy.In the literature,various testing technologies have been proposed to guarantee the quality of compilers...Compilers are widely-used infrastructures in accelerating the software development,and expected to be trustworthy.In the literature,various testing technologies have been proposed to guarantee the quality of compilers.However,there remains an obstacle to comprehensively characterize and understand compiler testing.To overcome this obstacle,we propose a literature analysis framework to gain insights into the compiler testing area.First,we perform an extensive search to construct a dataset related to compiler testing papers.Then,we conduct a bibliometric analysis to analyze the productive authors,the influential papers,and the frequently tested compilers based on our dataset.Finally,we utilize association rules and collaboration networks to mine the authorships and the communities of interests among researchers and keywords.Some valuable results are reported.We find that the USA is the leading country that contains the most influential researchers and institutions.The most active keyword is“random testing”.We also find that most researchers have broad interests within small-scale collaborators in the compiler testing area.展开更多
基金funded by the Open Foundation for the University Innovation Platform in the Hunan Province,grant number 16K013Hunan Provincial Natural Science Foundation of China,grant number 2017JJ2016+2 种基金2016 Science Research Project of Hunan Provincial Department of Education,grant number 16C0269Accurate crawler design and implementation with a data cleaning function,National Students innovation and entrepreneurship of training program,grant number 201811532010This research work is implemented at the 2011 Collaborative Innovation Center for Development and Utilization of Finance and Economics Big Data Property,Universities of Hunan Province.Open project,grant number 20181901CRP03,20181901CRP04,20181901CRP05.
文摘In order to study deeply the prominent problems faced by China’s clean government work,and put forward effective coping strategies,this article analyzes the network information of anti-corruption related news events,which is based on big data technology.In this study,we take the news report from the website of the Communist Party of China(CPC)Central Commission for Discipline Inspection(CCDI)as the source of data.Firstly,the obtained text data is converted to word segmentation and stop words under preprocessing,and then the pre-processed data is improved by vectorization and text clustering,finally,after text clustering,the key words of clean government work is derived from visualization analysis.According to the results of this study,it shows that China’s clean government work should focus on‘the four forms of decadence’issue,and related departments must strictly crack down five categories of phenomena,such as“illegal payment of subsidies or benefits,illegal delivery of gifts and cash gift,illegal use of official vehicles,banquets using public funds,extravagant wedding ceremonies and funeral”.The results of this study are consistent with the official data released by the CCDI’s website,which also suggests that the method is feasible and effective.
基金We would like to thank all the participants for the comments on improving this paper.This research was supported by the National Key Research and Development Program of China(2018YFB1003900)the National Natural Science Foundation of China(Grant Nos.61722202,61772107 and 61572097)the Fundamental Research Funds for the Central Universities(DUT18JC08).
文摘Compilers are widely-used infrastructures in accelerating the software development,and expected to be trustworthy.In the literature,various testing technologies have been proposed to guarantee the quality of compilers.However,there remains an obstacle to comprehensively characterize and understand compiler testing.To overcome this obstacle,we propose a literature analysis framework to gain insights into the compiler testing area.First,we perform an extensive search to construct a dataset related to compiler testing papers.Then,we conduct a bibliometric analysis to analyze the productive authors,the influential papers,and the frequently tested compilers based on our dataset.Finally,we utilize association rules and collaboration networks to mine the authorships and the communities of interests among researchers and keywords.Some valuable results are reported.We find that the USA is the leading country that contains the most influential researchers and institutions.The most active keyword is“random testing”.We also find that most researchers have broad interests within small-scale collaborators in the compiler testing area.
