QoEtient

In today’s fast-evolving digital landscape, video streaming platforms and applications are under constant pressure to deliver seamless, high-quality user experiences across a multitude of devices and networks. Amidst rising consumer expectations, intense competition and subscription fatigue, ensuring robust performance, flawless playback, and intuitive interfaces has become mission-critical for media and entertainment providers. Traditional testing methods often fall short in keeping pace with rapid development cycles and complex testing scenarios, creating a need for smarter, faster, and more scalable solutions.

QoEtient, powered by Tata Elxsi’s cutting-edge Smart Executor engine, is a next-generation no-code test automation platform purpose-built for OTT platforms, broadcasters, MSOs, and digital service providers. It empowers teams to accelerate testing with plain English test cases, eliminating the need for traditional scripting. QoEtient empowers QA teams to onboard tests up to 85% faster and slash automation efforts by 70–85%. Its intelligent, self-healing test engine automatically adapts to UI and content changes. With CI/CD integration and real-device, app, and network support, QoEtient accelerates releases, cuts QA costs, and delivers flawless digital experiences at scale.

Features

User Types

QA Teams: Transform Testing with No-Code, AI-Led Testing

QA Teams: Transform Testing with No-Code, AI-Led Testing

Empower your QA team to scale faster with Smart Executor’s no-code scripting, self-healing test flows, and GenAI-driven automation. Say goodbye to brittle scripts and UI breakages. QoEtient adapts dynamically to product changes and enables proactive testing across real devices. Reduce test setup time by 85% and free your team to focus on strategic test coverage, not manual maintenance.

Development Teams: Test Earlier, Fix Faster

Development Teams: Test Earlier, Fix Faster

Developers can now execute intelligent tests earlier in the CI/CD pipeline and isolate failures in minutes, not days. Smart Executor pinpoints genuine defects by separating them from environmental or script-level noise. With deep dashboard insights and AI-led prioritization, dev teams fix issues faster, improve release confidence, and ensure a smooth user experience across devices and platforms.

DevOps & TestOps Teams: Seamless Integration into CI/CD Workflows

DevOps & TestOps Teams: Seamless Integration into CI/CD Workflows

QoEtient fits effortlessly into modern DevOps pipelines with its modular architecture and API-first design. Smart Executor enables intelligent test execution at every stage,prioritizing critical tests, automating regression, and supporting rapid rollbacks. With support for tools like Jenkins, GitLab, and Azure DevOps, your team can run tests, gather results, and ship with confidence: faster than ever.

How does QoEtient translate simple English into complex test executions?

The answer lies in its GenAI-powered Smart Executor engine, which combines natural language processing with real-device automation. It starts by learning your application's UI structure and available actions. Testers then write test cases in plain English just like describing steps in a manual test. The Smart Executor interprets these instructions for intent, auto-generates executable flows, and adapts continuously as the application evolves.

These tests are executed across a real-device lab: Smart TVs, STBs, mobile apps, and web platforms without any scripting or manual setup. In addition to standard pass/fail results, QoEtient delivers step-wise logs, screenshots, and AI-generated root cause analysis. Seamlessly integrated with CI/CD pipelines, it offers scalable, no-code automation with faster triaging, deeper coverage, and zero maintenance burden.

How does QoEtient translate simple English into complex test executions?

Information Hub

  • What is QoEtient?

    QoEtient is an AI-based, true no-code automated test executor that can read and understand test cases written in natural language. It can automate tests on compatible devices, provide regular test results, and offer AI-generated insights on test failures. QoEtient is not a full test automation framework but a no-code executor library that can be integrated into existing test automation systems.

  • How does QoEtient differ from traditional script-based automation?

    Unlike traditional script-based automation, which requires programming skills and constant maintenance, QoEtient uses natural language test cases. This eliminates the need for coding knowledge and reduces maintenance efforts, as QoEtient can adapt to changes in the application without manual intervention. 

  • What are the four stages of QoEtient operation?

    The four stages are: 1) Understanding the App under test, 2) Understanding the Test Case, 3) Executing the Test Case, and 4) Providing test outcomes. These stages involve describing the app, interpreting natural language test cases, executing tests, and delivering comprehensive results.

  • How can QoEtient be integrated into existing test automation systems?

    QoEtient can be integrated by connecting integration points, including instructing SE on how to view and control specific device types, connecting SE's test results to existing reporting systems, and using QoEtient interfaces to start it with necessary information like test cases, app details, and device information.

  • What are Device Control Adapters in QoEtient?

    Device Control Adapters are implementations of interfaces defined within QoEtient that allow it to interact with various devices and applications. These adapters enable QoEtient to access, view, and control different device types without direct dependencies on third-party libraries.

  • How does QoEtient handle reporting?

    QoEtient generates events during test execution containing detailed information about the test's progress. Interested parties can subscribe to these events and access detailed report data. This approach allows QoEtient to remain decoupled from specific reporting systems while enabling data consumption by various reporting mechanisms.

  • How does QoEtient licensing work?

    Each QoEtient license permits the creation of one QoEtient instance, which can run one test case on one device at a time. Multiple licenses allow for parallel test execution across multiple devices. The licensing system is integrated within the QoEtient library and controls instance initialization based on available licenses.

  • Are there any cloud costs associated with using QoEtient?

    Yes, QoEtient integrates with generative AI APIs hosted in the AWS cloud, resulting in minimal charges for each execution. The exact costs depend on the complexity of the test case and whether instruction regeneration is required.

  • Can QoEtient detect issues beyond the primary objective of a test case?

    Yes, QoEtient has human-like abilities to note down anomalies or bugs while testing another test case, even if they are not the primary objective of that test.

  • How does QoEtient compare to no-code automation systems?

    While no-code automation systems use pre-coded blocks that users assemble visually, QoEtient is a true no-code solution. It eliminates the need for block assembly by directly interpreting natural language test cases, making it more efficient and resilient to changes in the application.

  • How does QoEtient understand the app under test?

    During the initial onboarding stage, users provide QoEtient with a description of the app in natural language, following a specified format. This description includes details about each screen, functionalities, unique identifiers, and navigation options. A typical app description contains about 500 lines of natural language information, representing the app's screens and functionalities.

  • What kind of test outcomes does QoEtient provide?

    QoEtient provides real-time feedback on test execution progress, reporting outcomes for each test step. It delivers a clear verdict (pass, fail, or could not test) for each test case. Additionally, QoEtient offers a comprehensive summary of the execution, including noteworthy observations and potential issues that might require further investigation.

  • How does QoEtient adapt to changes in the application being tested?

    QoEtient true no-code approach allows it to adapt to changes in the application without manual intervention. By interpreting natural language test cases and cross-referencing them with the app description, QoEtient can adjust its execution strategy automatically when the application evolves, reducing the need for test maintenance.

  • Can QoEtient work with different types of devices and platforms?

    Yes, QoEtient is designed to work with various device types and platforms. Using Device Control Adapters, QoEtient can interact with different devices such as Android phones, iPhones, browsers, and set-top boxes. These adapters allow QoEtient to view and control specific device types without being directly dependent on device-specific libraries.

  • How does QoEtient contribute to reducing the cost and effort associated with test maintenance?

    QoEtient significantly reduces test maintenance costs and efforts by eliminating the need for coding or assembling pre-coded blocks. Its ability to understand and execute natural language test cases, coupled with its adaptability to application changes, means that users spend less time updating and maintaining test cases. This results in a more efficient and cost-effective testing process.

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