Supporting the understanding and comparison of low-code development platforms
Autor: | Arsene Indamutsa, Alfonso Pierantonio, Apurvanand Sahay, Davide Di Ruscio |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Low-Code Development Platforms
0209 industrial biotechnology Code development Computer science business.industry Model Driven Engineering Software Development Software development 020207 software engineering 02 engineering and technology User requirements document Low-Code Development Platforms Model Driven Engineering Software Development 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering Software system Model-driven architecture business Set (psychology) Software engineering computer computer.programming_language |
Zdroj: | 2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) SEAA |
Popis: | Low-code development platforms (LCDPs) are easy to use visual environments that are being increasingly introduced and promoted by major IT players to permit citizen developers to build their software systems even if they lack a programming background. Understanding and evaluating the LCDP to be employed for the particular problem at hand are difficult tasks mainly because decision-makers have to choose among hundreds of heterogeneous platforms, which are difficult to evaluate without dedicated support. Thus, a detailed classification is needed to elaborate on the existing low-code platforms and to help users find out the most appropriate platforms based on their requirements.In this paper, a technical survey of different LCDPs is presented by relying on a proposed conceptual comparative framework. In particular, by analyzing eight representative LCDPs, a corresponding set of features have been identified to distil the functionalities and the services that each considered platform can support. The final aim is facilitating the understanding and the comparison of the low-code platforms that can best accommodate given user requirements. |
Databáze: | OpenAIRE |
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