Effective Hybrid Content-Based Collaborative Filtering Approach for Requirements Engineering

作     者：Qusai Y.Shambour Abdelrahman H.Hussein Qasem M.Kharma Mosleh M.Abualhaj 

作者机构：Faculty of Information TechnologyAl-Ahliyya Amman UniversityAmman19328Jordan 

出 版 物：《Computer Systems Science & Engineering》 (计算机系统科学与工程（英文）)

年 卷 期：2022年第40卷第1期

页      面：113-125页

核心收录：

学科分类：080703[工学-动力机械及工程] 08[工学] 0807[工学-动力工程及工程热物理] 

主　　题：Requirements engineering recommender systems requirements elicitation collaborative filtering content-based filtering 

摘      要：Requirements engineering(RE)is among the most valuable and critical processes in software *** quality of this process significantly affects the success of a software *** important step in RE is requirements elicitation,which involves collecting project-related requirements from different *** of reusable requirements are typically important sources of an increasing number of reusable software ***,the process of searching such repositories to collect valuable project-related requirements is time-consuming and difficult to perform *** systems have been widely recognized as an effective solution to such ***,this study proposes an effective hybrid content-based collaborative filtering recommendation *** proposed approach will support project stake-holders in mitigating the risk of missing requirements during requirements elicitation by identifying related requirements from software requirement *** experimental results on the RALIC dataset demonstrate that the proposed approach considerably outperforms baseline collaborative filtering-based recom-mendation methods in terms of prediction accuracy and coverage in addition to mitigating the data sparsity and cold-start item problems.