{"title":"Forecasting software damage rate from cognitive bias in software requirements gathering and specification process","authors":"Noptanit Chotisarn, N. Prompoon","doi":"10.1109/ICIST.2013.6747696","DOIUrl":null,"url":null,"abstract":"Human is the most important resource in the software project and has become the key success factor of the software project in terms of quality which is called “Human factor”. In this paper, the focus will be on the behavioral perspective of human factor in terms of psychological effect, especially on the cognitive bias at the early stages of the software development life cycle (SDLC). We aim to present a multiple regression and correlation analysis method of the human cognitive bias in the software requirements gathering and specification process, where the biases are assigned to the independent variables that affect the dependent variable or the software damage rate. The execution of our method will lead to the discovery of the factors that may affect the software damage rate.","PeriodicalId":415759,"journal":{"name":"2013 IEEE Third International Conference on Information Science and Technology (ICIST)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Third International Conference on Information Science and Technology (ICIST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIST.2013.6747696","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
Human is the most important resource in the software project and has become the key success factor of the software project in terms of quality which is called “Human factor”. In this paper, the focus will be on the behavioral perspective of human factor in terms of psychological effect, especially on the cognitive bias at the early stages of the software development life cycle (SDLC). We aim to present a multiple regression and correlation analysis method of the human cognitive bias in the software requirements gathering and specification process, where the biases are assigned to the independent variables that affect the dependent variable or the software damage rate. The execution of our method will lead to the discovery of the factors that may affect the software damage rate.