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Enabling Testability: Key Step in Automating Automation

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  • Vivek Krishna Choppa

    (National Institute of Technology, Rourkela, India)

Abstract

In the modern software development lifecycle, automation has become essential for achieving speed, accuracy, and scalability in testing processes. However, a critical step often overlooked is ensuring the system's testability early in its development. This paper introduces the concept of the Testability Analyser, a tool that evaluates software systems for their testability. By leveraging AI technologies and integrating with design tools such as AWS documentation, Draw.io, PlantUML, and Creately, the Testability Analyser facilitates early testability evaluations, optimizing systems for automated testing. The paper discusses the importance of testability, the role of AI systems in understanding complex software architectures, and key items to verify testability in software architecture before and after the advent of Large Language Models (LLMs) and Model Context Protocol (MCP).

Suggested Citation

  • Vivek Krishna Choppa, 2025. "Enabling Testability: Key Step in Automating Automation," Journal of Computer Science and Technology Studies, Al-Kindi Center for Research and Development, vol. 7(6), pages 72-78, June.
    • Handle: RePEc:alk:jcsts0:v:7:y:2025:i:6:id:9941
    DOI: 10.32996/jcsts.2025.7.6.10
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