{"title":"基于目标累积RDF图的面向目标需求分析","authors":"Jun H. Lee, Y. B. Park","doi":"10.1109/ICISA.2014.6847407","DOIUrl":null,"url":null,"abstract":"Goal-oriented requirement analysis is an approach that semantically suggests requirements based on predefined domain knowledge using ontology. However, developing ontology can be a very expensive process and cause additional efforts. These are major obstacles to introduce Goal-oriented requirement analysis. Furthermore, since the prioritization mechanism depends on how to define ontology, a consistent prioritization process on suggested goal candidates can be hard. In this paper, a goal modeling method based on goal accumulation according to their preference without developing its ontology is proposed. This approach provides 1) a straightforward process to suggest goal candidates without ontology development and 2) a consistent mechanism to prioritize goal candidates.","PeriodicalId":117185,"journal":{"name":"2014 International Conference on Information Science & Applications (ICISA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Goal-Oriented Requirements Analysis Using Goal Accumulation RDF Graph\",\"authors\":\"Jun H. Lee, Y. B. Park\",\"doi\":\"10.1109/ICISA.2014.6847407\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Goal-oriented requirement analysis is an approach that semantically suggests requirements based on predefined domain knowledge using ontology. However, developing ontology can be a very expensive process and cause additional efforts. These are major obstacles to introduce Goal-oriented requirement analysis. Furthermore, since the prioritization mechanism depends on how to define ontology, a consistent prioritization process on suggested goal candidates can be hard. In this paper, a goal modeling method based on goal accumulation according to their preference without developing its ontology is proposed. This approach provides 1) a straightforward process to suggest goal candidates without ontology development and 2) a consistent mechanism to prioritize goal candidates.\",\"PeriodicalId\":117185,\"journal\":{\"name\":\"2014 International Conference on Information Science & Applications (ICISA)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Information Science & Applications (ICISA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICISA.2014.6847407\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Information Science & Applications (ICISA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISA.2014.6847407","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Goal-Oriented Requirements Analysis Using Goal Accumulation RDF Graph
Goal-oriented requirement analysis is an approach that semantically suggests requirements based on predefined domain knowledge using ontology. However, developing ontology can be a very expensive process and cause additional efforts. These are major obstacles to introduce Goal-oriented requirement analysis. Furthermore, since the prioritization mechanism depends on how to define ontology, a consistent prioritization process on suggested goal candidates can be hard. In this paper, a goal modeling method based on goal accumulation according to their preference without developing its ontology is proposed. This approach provides 1) a straightforward process to suggest goal candidates without ontology development and 2) a consistent mechanism to prioritize goal candidates.