Low-code service virtualization platforms: Democratizing test environment Creationsss

Authors

  • Appala Nooka Kumar Doodala Manager Quality Assurance at Cognizant, USA. Author

DOI:

https://doi.org/10.63282/3117-5481/AIJCST-V6I5P106

Keywords:

Low-Code Platforms, Service Virtualization, Software Testing, Test Environment Automation, Devops, CI/CD, Environment Simulation, Democratization, Digital Transformation

Abstract

As a result, testing has become a major challenge in the software environment of the present day that is evolving faster and faster and is getting increasingly intertwined, and consists of microservices, APIs, and third-party integrations. Access to expensive and resource-consuming systems is often needed for provisioning realistic test environments, which in turn causes delays and bottlenecks. Non-expert users can simulate dependent systems quickly and as well as create a robust test environment without having any coding or infrastructure knowledge by using low-code service virtualization platforms which are solutions to the above-stated problems. This work investigates the use of low-code virtualization tools in generating test environments by means of a defined methodology that comprises comparative analysis and case studies. The results show very significant benefits like those measures which improve access for testers, lower operational costs as well as accelerated testing cycles thus, software quality and delivery speed get improved furthermore. To sum up, low-code service virtualization is a means of democratizing software testing as it enables more user groups to be involved in environment setup and validation, thus, it is a transformative step towards more agile and inclusive development practices, along with that, future research is envisaged on issues such as scalability, security, and integration with AI-driven testing frameworks.

References

[1] Alamin, Md Abdullah Al. "Democratizing software development and machine learning using low code applications." (2022).

[2] Khorram, Faezeh, Jean-Marie Mottu, and Gerson Sunyé. "Challenges & opportunities in low-code testing." Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings. 2020.

[3] Di Sipio, Claudio, Davide Di Ruscio, and Phuong T. Nguyen. "Democratizing the development of recommender systems by means of low-code platforms." Proceedings of the 23rd ACM/IEEE international conference on model driven engineering languages and systems: companion proceedings. 2020.

[4] Upadhyaya, Nitesh. "Low-Code/No-Code platforms and their impact on traditional software development: A literature review." No-Code Platforms and Their Impact on Traditional Software Development: A Literature Review (March 21, 2023) (2023).

[5] Parakala, Adityamallikarjunkumar. "Hyperautomation Use Cases (Case Studies)." International Journal of AI, BigData, Computational and Management Studies 4.2 (2023): 120-131.

[6] Khorram, Faezeh, et al. "Concepts for Testing in Low-Code Engineering Repositories."

[7] Lekkala, Chandrakanth. "Adopting Low-Code Platforms for Data Pipeline Development in Cloud Environments." International Journal of Science and Research (IJSR) Volume 12 (2023).

[8] Areo, Gideon. "Comparative Analysis of Low-Code vs Traditional RPA in Pharmaceutical Workflow Automation." (2022).

[9] Piridi, Sarat. "Enterprise-Scale Automation of Support Workflows using Power Platform and Virtualized Robotic Process Automation." Healthcare Informatics Review 39.4 (2021): 322-337.

[10] Samson, Olaitan. "AI-Powered Workflow Automation in Clinical Onboarding Using Low-Code Tools." (2021).

[11] Egli, Patrick, and Karim Ibrahim. "A new code generation tool for rapid application development: CodeFlow–a developer-friendly code generator for rapid development of maintainable web applications." (2023).

[12] Guntupalli, Bhavitha. "How I Optimized a Legacy Codebase with Refactoring Techniques." International Journal of Emerging Trends in Computer Science and Information Technology 3.1 (2022): 98-106.

[13] Bian, Yan, et al. "A Research of Page Automatic Publishing Scheme Based on Low Code Platform." 2023 3rd International Conference on Electronic Information Engineering and Computer Science (EIECS). IEEE, 2023.

[14] Adenekan, T. K. "Risk-Aware Automation of Regulatory Reporting in the Pharmaceutical Industry Using Power Platform." (2023).

[15] Parakala, Adityamallikarjunkumar. "RPA+ AI→ Intelligent Process Automation (IPA)." International Journal of AI, BigData, Computational and Management Studies 4.3 (2023): 112-123.

[16] Chaudhary, Hafiz Ahmad Awais, et al. "Model-driven engineering in digital thread platforms: a practical use case and future challenges." International Symposium on Leveraging Applications of Formal Methods. Cham: Springer Nature Switzerland, 2022.

[17] Lakarasu, Phanish. "AI-Driven Data Engineering: Automating Data Quality, Lineage, And Transformation In Cloud-Scale Platforms." Lineage, and Transformation in Cloud-scale Platforms (December 10, 2022) (2022).

[18] van Giffen, Benjamin, and Helmuth Ludwig. "How Siemens democratized artificial intelligence." MIS Quarterly Executive 22.1 (2023): 1-21.

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Published

2024-09-18

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Section

Articles

How to Cite

[1]
A. N. Kumar Doodala, “Low-code service virtualization platforms: Democratizing test environment Creationsss”, AIJCST, vol. 6, no. 5, pp. 57–68, Sep. 2024, doi: 10.63282/3117-5481/AIJCST-V6I5P106.

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