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PeriodicalsArtificial Intelligence & Machine Learning

Beyond Coding: A Comprehensive Study of Low-Code, No-Code and Traditional Automation

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Abstract & Overview

The domain of software testing has undergone a transformative shift with the advent of automation technologies, particularly Low-Code and No-Code solutions in addition to conventional coding methods. This paper presents a comprehensive exploration of these three paradigms, delving into their strengths, weaknesses and applications in contemporary testing practices. We delve into the intricacies of Low-Code and No-Code automation, examining their potential to democratize testing beyond the traditional boundaries of coding. Through a comprehensive comparison of these approaches, our goal is to provide guidance to practitioners and decision-makers in selecting the most suitable strategy for their testing requirements, thereby ushering in a new era of efficiency and adaptability in software testing. Accompany us on a journey that goes beyond coding as we unravel the subtleties of Low-Code, No-Code and Traditional Automation in this innovative study.

Cite this record

Rohit Khankhoje (2022). Beyond Coding: A Comprehensive Study of Low-Code, No-Code and Traditional Automation. Journal of Artificial Intelligence & Cloud Computing, 1(4), 1–1. https://doi.org/10.47363/jaicc/2022(1)148

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Khankhoje, R. (2022). Beyond Coding: A Comprehensive Study of Low-Code, No-Code and Traditional Automation. Journal of Artificial Intelligence & Cloud Computing, 1(4), 1–1. https://doi.org/10.47363/jaicc/2022(1)148
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