{"title":"敏捷过程中移动应用开发工作量估算预测指标的行业研究","authors":"Abdullah R. Altaleb, Muna Altherwi, A. Gravell","doi":"10.1109/ICITM48982.2020.9080362","DOIUrl":null,"url":null,"abstract":"Effort estimation is essential for all development teams in order to ensure the user's story for the software project is delivered on time, boxed released. The characteristics of mobile apps make app development different from other traditional software. There are many challenges in developing a mobile app that could lead to inaccurate estimation of user stories. Therefore, the aim of this paper is to provide a comprehensive investigation into the factors that affect the accuracy of effort estimation. The effort estimation factors have been collected from previous studies and validated with 20 practitioners across 18 organisations in the development field of mobile applications.","PeriodicalId":176979,"journal":{"name":"2020 9th International Conference on Industrial Technology and Management (ICITM)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"An Industrial Investigation into Effort Estimation Predictors for Mobile App Development in Agile Processes\",\"authors\":\"Abdullah R. Altaleb, Muna Altherwi, A. Gravell\",\"doi\":\"10.1109/ICITM48982.2020.9080362\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Effort estimation is essential for all development teams in order to ensure the user's story for the software project is delivered on time, boxed released. The characteristics of mobile apps make app development different from other traditional software. There are many challenges in developing a mobile app that could lead to inaccurate estimation of user stories. Therefore, the aim of this paper is to provide a comprehensive investigation into the factors that affect the accuracy of effort estimation. The effort estimation factors have been collected from previous studies and validated with 20 practitioners across 18 organisations in the development field of mobile applications.\",\"PeriodicalId\":176979,\"journal\":{\"name\":\"2020 9th International Conference on Industrial Technology and Management (ICITM)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 9th International Conference on Industrial Technology and Management (ICITM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICITM48982.2020.9080362\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 9th International Conference on Industrial Technology and Management (ICITM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITM48982.2020.9080362","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Industrial Investigation into Effort Estimation Predictors for Mobile App Development in Agile Processes
Effort estimation is essential for all development teams in order to ensure the user's story for the software project is delivered on time, boxed released. The characteristics of mobile apps make app development different from other traditional software. There are many challenges in developing a mobile app that could lead to inaccurate estimation of user stories. Therefore, the aim of this paper is to provide a comprehensive investigation into the factors that affect the accuracy of effort estimation. The effort estimation factors have been collected from previous studies and validated with 20 practitioners across 18 organisations in the development field of mobile applications.
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