Abstract: In order to effectively guide theory into practice and further improve the quality of requirements engineering (RE)it is necessary to understand the focuses of RE in industry.To solve this problemthis paper proposes a research scheme with four steps based on data mining.Firstlysuitable data sources are selectedincluding blogs and Q&A websites.Secondlysuitable keywords are determinedand data related to REare crawled and cleaned.Thenaccording to the characters of different datatext similarity analysis and label data are conducted.Finallydata analysis are done.The research results show that the focuses of RE between domestic and foreign industry have similarities and differences.Both domestic and foreign industries focus on agile requirementsand both concern the difference between user story and use casewhich potentially reflects the requirements issue of hybrid development combing traditional with agile in practice.The applications of RE tools are concerned by bothandalthough the types of RE tools used in domestic practice are multipletools developed by domestic companies are relatively few.The concepts and methods of RE and the career development of requirements engineers are the focuses in domestic industrybut not in foreign industry.In additiondomestic industry pays more attention to requirements analysis than requirements changeand two fields (test and project management) related to RE are also focused on in domestic industry.The research results can effectively guide the application of related RE theory into focuses in industryso as to solve the difficulties in RE practiceand provide possible research and development directions for academia and industry.

Key words: Data analysis, Data label, Industry, Requirements engineering, Text similarity analysis