Thanabbordee Thanarukvudhikorn, H. Lichter, A. Ganser, T. Anwar
{"title":"RIOT:快速、迭代和现成的工具评估","authors":"Thanabbordee Thanarukvudhikorn, H. Lichter, A. Ganser, T. Anwar","doi":"10.1109/MYSEC.2011.6140722","DOIUrl":null,"url":null,"abstract":"Tool surveys of BPM tools often provide masses of detailed information which are not well presented. This makes studies of surveys a very tedious and time consuming task, since readers get lost in the pure mass of details. RIOT: Our “Rapid, Iterative and Off-the-shelf Tool-Evaluation”, is a novel evaluation approach which bases on detailed surveys but focuses on the target audience and how to present information well. Hence, RIOT takes scenarios and stakeholders into consideration in order to meet the users' actual needs. Therefore, we subdivided RIOT into phases, tailored each to human attention span, and combined active and passive parts. Thus, we claim, that users will be able to evaluate much more efficiently compared to other evaluation approaches.","PeriodicalId":137714,"journal":{"name":"2011 Malaysian Conference in Software Engineering","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"RIOT: Rapid, iterative and off-the-shelf tool-evaluation\",\"authors\":\"Thanabbordee Thanarukvudhikorn, H. Lichter, A. Ganser, T. Anwar\",\"doi\":\"10.1109/MYSEC.2011.6140722\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Tool surveys of BPM tools often provide masses of detailed information which are not well presented. This makes studies of surveys a very tedious and time consuming task, since readers get lost in the pure mass of details. RIOT: Our “Rapid, Iterative and Off-the-shelf Tool-Evaluation”, is a novel evaluation approach which bases on detailed surveys but focuses on the target audience and how to present information well. Hence, RIOT takes scenarios and stakeholders into consideration in order to meet the users' actual needs. Therefore, we subdivided RIOT into phases, tailored each to human attention span, and combined active and passive parts. Thus, we claim, that users will be able to evaluate much more efficiently compared to other evaluation approaches.\",\"PeriodicalId\":137714,\"journal\":{\"name\":\"2011 Malaysian Conference in Software Engineering\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Malaysian Conference in Software Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MYSEC.2011.6140722\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Malaysian Conference in Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MYSEC.2011.6140722","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
RIOT: Rapid, iterative and off-the-shelf tool-evaluation
Tool surveys of BPM tools often provide masses of detailed information which are not well presented. This makes studies of surveys a very tedious and time consuming task, since readers get lost in the pure mass of details. RIOT: Our “Rapid, Iterative and Off-the-shelf Tool-Evaluation”, is a novel evaluation approach which bases on detailed surveys but focuses on the target audience and how to present information well. Hence, RIOT takes scenarios and stakeholders into consideration in order to meet the users' actual needs. Therefore, we subdivided RIOT into phases, tailored each to human attention span, and combined active and passive parts. Thus, we claim, that users will be able to evaluate much more efficiently compared to other evaluation approaches.