{"title":"A review of effort estimation studies in agile, iterative and incremental software development","authors":"Danh Nguyen-Cong, D. Tran-Cao","doi":"10.1109/RIVF.2013.6719861","DOIUrl":null,"url":null,"abstract":"This paper presents the results of systematically reviewing the current research literature on effort estimation in agile, iterative and incremental software projects (AIISPs). The primary purpose is to show evidences about common trends, gaps and recommendations for future studies. The results were limited to peer-reviewed conference papers/journal articles, written in English and published before 2013. The synthesis was made through classifying the papers based on different properties. The analysis indicates the need for future research on: 1) estimating effort for the remaining AIISPs, 2) analyzing the impact of properties of historical/current project data, 3) using benchmark data, 4) using composite models and 5) further empirical validation of the estimation models.","PeriodicalId":121216,"journal":{"name":"The 2013 RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 2013 RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RIVF.2013.6719861","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 31
Abstract
This paper presents the results of systematically reviewing the current research literature on effort estimation in agile, iterative and incremental software projects (AIISPs). The primary purpose is to show evidences about common trends, gaps and recommendations for future studies. The results were limited to peer-reviewed conference papers/journal articles, written in English and published before 2013. The synthesis was made through classifying the papers based on different properties. The analysis indicates the need for future research on: 1) estimating effort for the remaining AIISPs, 2) analyzing the impact of properties of historical/current project data, 3) using benchmark data, 4) using composite models and 5) further empirical validation of the estimation models.