Adoption of low-code and no-code development: A systematic literature review and future research agenda

IF 3.7 2区计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Journal of Systems and Software Pub Date : 2024-11-26 DOI:10.1016/j.jss.2024.112300

Matthew Oladeji Ajimati, Noel Carroll, Mary Maher

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引用次数: 0

Abstract

Context

Low-code/no-code (LCNC) is an emerging technology trend that extends software development beyond professionalsoftware engineers, making it accessible to individuals throughout organizations and society.

Objective

We aim to provide a systematic review of the current research on the adoption of LCNC technologies within citizen development (CD) practices for digital transformation (DT), and to propose a research agenda for this field.

Method

This review is primarily conducted using a multi-phase systematic literature review of publications from the past five years, i.e., between 2017 and 2023.

Results

We identified 40 primary studies that describes the application of LCNC development and CD practices, the theoretical lenses/frameworks used, and the associated benefits and challenges.

Conclusion

In this study, we present three key contributions. First, we provide a comprehensive review of the benefits, challenges, theoretical perspectives, and methods used to explore LCNC and CD adoption. Second, we introduce a framework designed to guide managers in effectively adopting LCNC and CD practices. Finally, our systematic review uncovers gaps in existing research and identifies opportunities for further exploration, which paves the way for a future research agenda.

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来源期刊

Journal of Systems and Software 工程技术-计算机：理论方法

CiteScore

8.60

自引率

5.70%

发文量

193

审稿时长

16 weeks

期刊介绍： The Journal of Systems and Software publishes papers covering all aspects of software engineering and related hardware-software-systems issues. All articles should include a validation of the idea presented, e.g. through case studies, experiments, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited to: •Methods and tools for, and empirical studies on, software requirements, design, architecture, verification and validation, maintenance and evolution •Agile, model-driven, service-oriented, open source and global software development •Approaches for mobile, multiprocessing, real-time, distributed, cloud-based, dependable and virtualized systems •Human factors and management concerns of software development •Data management and big data issues of software systems •Metrics and evaluation, data mining of software development resources •Business and economic aspects of software development processes The journal welcomes state-of-the-art surveys and reports of practical experience for all of these topics.