作者: Witold Pedrycz , Joana Iljazi , Alberto Sillitti , Giancarlo Succi
DOI: 10.1007/978-3-319-39883-9_21
关键词: Industrial engineering 、 Computer science 、 Fuzzy logic 、 Experimental data 、 Plan (drawing) 、 Process (engineering) 、 New product development 、 Software development 、 Software system 、 Work (electrical)
摘要: A lot of requirements are discarded throughout the product development process. However, resources invested on them regardless their fate. If it would exist a model that predicts reliably and early enough whether requirement will be deployed or not, overall process more cost-effective software system itself qualitative, since effort channeled efficiently. In this work we try to build such predictive through modelling lifecycle each based its history, capturing underlying dynamics evolution. We employ simple classification model, using logistic regression algorithm, with features coming from an engineering understanding problem patterns observed data. verify than 80,000 logs for over 10 years in Italian Aeronautical Company. The results encouraging, so plan extend our study one side collecting experimental data and, other, employing refined modeling techniques, like those mining fuzzy logic.