{"title":"自动模型分组","authors":"Michael Becker, V. Gruhn","doi":"10.1145/1858996.1859096","DOIUrl":null,"url":null,"abstract":"A tremendous amount of software models has been created so far. This growing number of models adds to the fact that it gets more and more difficult to organise, structure, and reuse them. Thereby new software development projects cannot profit from existing knowledge. In our research we will study existing natural language processing techniques for their adaptability in the reuse of software models. We will research methods to group existing models according to their functionality.","PeriodicalId":341489,"journal":{"name":"Proceedings of the 25th IEEE/ACM International Conference on Automated Software Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Automated model grouping\",\"authors\":\"Michael Becker, V. Gruhn\",\"doi\":\"10.1145/1858996.1859096\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A tremendous amount of software models has been created so far. This growing number of models adds to the fact that it gets more and more difficult to organise, structure, and reuse them. Thereby new software development projects cannot profit from existing knowledge. In our research we will study existing natural language processing techniques for their adaptability in the reuse of software models. We will research methods to group existing models according to their functionality.\",\"PeriodicalId\":341489,\"journal\":{\"name\":\"Proceedings of the 25th IEEE/ACM International Conference on Automated Software Engineering\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 25th IEEE/ACM International Conference on Automated Software Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1858996.1859096\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 25th IEEE/ACM International Conference on Automated Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1858996.1859096","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A tremendous amount of software models has been created so far. This growing number of models adds to the fact that it gets more and more difficult to organise, structure, and reuse them. Thereby new software development projects cannot profit from existing knowledge. In our research we will study existing natural language processing techniques for their adaptability in the reuse of software models. We will research methods to group existing models according to their functionality.