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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Low-Code Platforms for Rapid Enterprise Application Development in ServiceNow

Authors: Saikrishna Tarakampet;

Low-Code Platforms for Rapid Enterprise Application Development in ServiceNow

Abstract

Abstract Enterprise applications have become complicated and expensive [4]. The process of building them is time consuming, expensive, and relies heavily on multiple resources to complete. A method for building enterprise applications quickly, affordably, and without relying on extensive knowledge of programming languages is outlined in this report [1]. The Low Code Rapid Application Framework (L-CRAF) [7] is based on ServiceNow's App Engine [3] and allows for quick, scalable, and controlled delivery of applications that meet enterprise requirements in areas such as IT Service Management (ITSM) and IT Business Management (ITBM). This methodology introduces a standard template for building reusable orchestration processes for model creation and deployment for enterprise applications [7]. A tangible example of this framework's application is shown in the PPM case study. The comparison between the PPM application created with the Low Code Rapid Application Framework and other PPM applications is significant in that the Low Code Rapid Application Framework enabled deployment of the application up to 50% faster and provided greater reuse and adoption [2]. Based on the experience gained from this work, it is clear that low code orchestration and enterprise governance/architectural discipline provide a scalable route toward successful digital transformation [8]. Keywords: Low-Code Development, ServiceNow App Engine, Rapid Application Development, Enterprise Platforms, ITSM, ITBM, CSDM, Workflow Automation, Digital Transformation, Custom Application Development

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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