DevOps Practitioners’ Perceptions of the Low-code Trend

Author:

Rafi Saima1,Akbar Muhammad Azeem2,Sánchez-Gordón Mary3,Colomo-Palacios Ricardo3

Affiliation:

1. University of Murcia, Spain

2. LUT University, Finland

3. Østfold University College, Norway

Publisher

ACM

Reference33 articles.

1. ‘Why are many businesses instilling a DevOps culture into their organization?’;Díaz J.;Empir Software Eng,2021

2. Readiness model for DevOps implementation in software organizations

3. M. A. Al Alamin , S. Malakar , G. Uddin , S. Afroz , T. B. Haider , and A. Iqbal , ‘An Empirical Study of Developer Discussions on Low-Code Software Development Challenges ’, in 2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR) , May 2021 , pp. 46– 57 . doi: 10.1109/MSR52588.2021.00018. M. A. Al Alamin, S. Malakar, G. Uddin, S. Afroz, T. B. Haider, and A. Iqbal, ‘An Empirical Study of Developer Discussions on Low-Code Software Development Challenges’, in 2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR), May 2021, pp. 46–57. doi: 10.1109/MSR52588.2021.00018.

4. A. Bucaioni , A. Cicchetti , and F. Ciccozzi , ‘Modelling in low-code development: a multi-vocal systematic review ’, Softw Syst Model , Jan. 2022 , doi: 10.1007/s10270-021-00964-0. A. Bucaioni, A. Cicchetti, and F. Ciccozzi, ‘Modelling in low-code development: a multi-vocal systematic review’, Softw Syst Model, Jan. 2022, doi: 10.1007/s10270-021-00964-0.

5. H. Henriques , H. Lourenço , V. Amaral , and M. Goulão , ‘Improving the Developer Experience with a Low-Code Process Modelling Language ’, in Proceedings of the 21th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems , New York, NY, USA , Oct. 2018 , pp. 200– 210 . doi: 10.1145/3239372.3239387. H. Henriques, H. Lourenço, V. Amaral, and M. Goulão, ‘Improving the Developer Experience with a Low-Code Process Modelling Language’, in Proceedings of the 21th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, New York, NY, USA, Oct. 2018, pp. 200–210. doi: 10.1145/3239372.3239387.

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3