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Modelling in low-code development : a multi-vocal systematic review

Bucaioni, Alessio, 1987- (author)
Mälardalens universitet,Inbyggda system
Cicchetti, Antonio (author)
Mälardalens universitet,Inbyggda system
Ciccozzi, Federico, 1983- (author)
Mälardalens universitet,Inbyggda system
 (creator_code:org_t)
2022-01-19
2022
English.
In: Software and Systems Modeling. - : SPRINGER HEIDELBERG. - 1619-1366 .- 1619-1374. ; 21:5, s. 1959-1981
  • Research review (peer-reviewed)
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  • In 2014, a new software development approach started to get a foothold: low-code development. Already from its early days, practitioners in software engineering have been showing a rapidly growing interest in low-code development. In 2021 only, the revenue of low-code development technologies reached 13.8 billion USD. Moreover, the business success of low-code development has been sided by a growing interest from the software engineering research community. The model-driven engineering community has shown a particular interest in low-code development due to certain similarities between the two. In this article, we report on the planning, execution, and results of a multi-vocal systematic review on low-code development, with special focus to its relation to model-driven engineering. The review is intended to provide a structured and comprehensive snapshot of low-code development in its peak of inflated expectations technology adoption phase. From an initial set of potentially relevant 720 peer-reviewed publications and 199 grey literature sources, we selected 58 primary studies, which we analysed according to a meticulous data extraction, analysis, and synthesis process. Based on our results, we tend to frame low-code development as a set of methods and/or tools in the context of a broader methodology, often being identified as model-driven engineering.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Software Engineering (hsv//eng)

Keyword

Low-code development
Modelling
Model-driven engineering
Systematic review

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