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AI‑Powered, Low‑Code Quality assurance : Smarter Test Automation for Faster Releases

 
Avanti_Kamble
HPE Pro

AI‑Powered, Low‑Code Quality assurance : Smarter Test Automation for Faster Releases

As software development accelerates and teams release updates on a weekly basis, traditional testing methods, such as manual testing, cannot meet demands. Also, Traditional testing tools like Selenium are reliable but challenging to learn, have slow authoring cycles, and fragile test scripts that break with even minor UI changes.  This Blog presents a smarter way to handle quality assurance (QA) by using Artificial Intelligence (AI) and Low-Code/No-Code (LCNC) tools.

AI-Powered LCNC Testing Tools – An Overview
Barrier of traditional coding is lowered using Low-code platforms by leveraging visual flows and drag-and-drop interfaces. With no-code platforms, users can create automated tests using straightforward  plain English or simple logic blocks. Artificial Intelligence (AI) then adds the magic: automatically identifying UI elements, maintaining tests when the UI changes, and generating intelligent recommendations. Together, these tools make adoption easier while improving output for testing. For a business case, it accelerates time-to-market, reduces maintenance, increases cross-functional collaboration, expands test coverage, and lowers operational costs.

Leading Licensed Platforms & Their AI-LCNC Strengths with Cost Platform

  • Katalon Studio
    Platform Type: Low-Code

    AI Capabilities: Self-healing locators, Al object detection, TestOps analytics, Smart wait.
    Key Strengths: All in one testing (UI, API, Mobile), Strong CI/CD integration
    Best For: Functional, API, mobile and regression testing
    Estimated Cost: $2,099 – $3,778+ per year

  • Tricentis Tosca
    Platform Type: Low-Code

    AI Capabilities: Vision AI, Impact analysis, Model-based test design
    Key Strengths: Scales well for enterprise needs, Excellent for SAP testing
    Best For: Complex enterprise application
    Estimated Cost: $5,350 – $10,700+ per year

  • Testim
    Platform Type: Low-Code

    AI Capabilities:Machine learning-powered locators, Auto-healing capabilities.
    Key Strengths:Fast test creation, Stable UI testing at scale
    Best For: UI testing
    Estimated Cost: $1,200 – $50,000+ per year

  • ACCELQ
    Platform Type: No-Code

    AI Capabilities: AI-generated/self-healing tests 
    Key Strengths: Script less full stack (API/UI/mobile) 
    Best For: Script less automation 
    Estimated Cost: $360+ per year.

HPE Adoption: Expanding QA Capabilities with Katalon Studio

Problem Statement :
At HPE, a single tester is responsible for multiple internal projects with weekly Move to Production (MTP) releases for stable applications like DELTA. This created bandwidth constraints and made it difficult to cover all critical functionality beyond the scheduled MTP items.Traditional automation like Selenium and Pytest frameworks, required 1-2 months for development, limiting agility. It is difficult to perform manual testing on all the scenarios.
Solution:
Upon evaluating all available low-code/no-code AI platforms in the market, Katalon Studio stands out for its easy record‑and‑play interface, all‑in‑one testing across UI/API/mobile, AI‑powered reliability, rich TestOps insights, seamless CI/CD integrations, and competitive pricing.

Key Highlights:
- Manual testers smoothly transitioned to automation.

- Improved coverage of core app functionalities.
- Faster feedback and stable tests across browsers.
- In the Rapid initiative, Katalon reduced automation framework development time from months to weeks, validating its value for HPE.
- Katalon Studio’s AI-powered low-code platform enabled rapid development of automation frameworks in just 1-2 weeks using record-and-play and self-healing features.
pytest_framework.png

Figure1: “Selenium + Pytest Framework Setup: 1–2 Months”
(Highlights the prolonged development cycle required by traditional tools)

katalon_Studio.png

Figure2: “Katalon Studio Framework Setup: Just 1–2 Weeks”
(Demonstrates the rapid deployment enabled by low-code automation.)
In Conclusion, Software testing with multiple projects isn’t just a technical hurdle anymore—it’s now a key part of smart software delivery. With AI-powered, low‑code/no‑code tools like Katalon Studio, teams can work faster, work together better, and deliver quality software that keeps them ahead
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Avanti Kamble
Hewlett Packard Enterprise (PSD-GCC)



I work at HPE
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[Any personal opinions expressed are mine, and not official statements on behalf of Hewlett Packard Enterprise]
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