University of Twente Student Theses


Features to predict quality of low-code integrations

Garg, A. (2022) Features to predict quality of low-code integrations.

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Abstract:The number of information systems in a business are growing rapidly as new technologies and software become available in the market, which increases the need for integrating these systems for a flow of data between them. These integrations have to be made quickly to keep up with the market developments and they have to be of excellent quality. To achieve this, the use of low code development using iPaaS (Integration Platform as a Service) is on the rise, however, currently, it is not possible to measure the quality of a low code integration specifically. Hence, this research aims to find features that can be used to predict the quality of low code integration in iPaaS. This will be done by conducting a systematic literature review, then the features found will be mapped to ISO, from that, the relevant features will be chosen through a certain criteria and expert guidance. Doing this would be beneficial for the company as it will save them multiple resources such as time and money. The result of this research would a list of features which will be found using a systematic literature review and guidance from experts, and the list could be used to determine the quality of a low code integration in an iPaaS. Additional Key Words and Phrases: Information systems, integrations, low e development, quality of integration, integration platform as a service, iPaaS
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Programme:Business & IT BSc (56066)
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