End-user development, end-user programming and end-user software engineering: A systematic mapping study

作     者：Barricelli, Barbara Rita Cassano, Fabio Fogli, Daniela Piccinno, Antonio 

作者机构：Univ Milan Dip Informat Milan Italy Univ Bari Aldo Moro Dip Informat Bari Italy Univ Brescia Dip Ingn Informaz Brescia Italy 

出 版 物：《JOURNAL OF SYSTEMS AND SOFTWARE》 (系统与软件杂志)

年 卷 期：2019年第149卷

页      面：101-137页

核心收录：

学科分类：08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：The authors would like to thank the anonymous reviewers for their fruitful comments and suggestions. This research did not receive any specific grant from funding agencies in the public  commercial  or not-for-profit sectors 

主　　题：Systematic mapping study End-user development End-user programming End-user software engineering 

摘      要：End-User Development (EUD), End-Programming (EUP) and End-User Software Engineering (EUSE) are three related research fields that study methods and techniques for empowering end users to modify and create digital artifacts. This paper presents a systematic mapping study aimed at identifying and classifying scientific literature about EUD, EUP and EUSE in the time range January 2000-May 2017. We selected 165 papers found through a manual selection of papers from specific conferences, journal special issues, and books, integrated with an automatic search on the most important digital libraries. The answer to our research question was built through a classification of the selected papers on seven dimensions: type of approach, interaction technique, phase in which the approach is adopted, application domain, target use, class of users, and type of evaluation. Our findings suggest that EUD, EUP and EUSE are active research topics not only in Human-Computer Interaction, but also in other research communities. However, little cross-fertilization exists among the three themes, as well as unifying frameworks and approaches for guiding novice designers and practitioners. Other findings highlight trends and gaps related to the analysis dimensions, which have implications on the design of future tools and suggest open issues for further investigations. (C) 2018 Elsevier Inc. All rights reserved.