Publisher
BrowserstackSubcategories
Average rating
Deze score is berekend door AI op basis van publiek beschikbare informatie.
4.4 / 5
About this software
BrowserStack Test Reporting & Analytics centralizes automated test reporting, debugging, and analytics for UI, API, and unit tests. It ingests test results via BrowserStack SDKs or JUnit/XML uploads, consolidates logs, screenshots, and videos, and applies AI-based failure categorization. Teams use dashboards, timeline debugging, and quality gates to monitor suite health and automate build verification. The product was previously called BrowserStack Test Observability.
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BrowserStack Test Observability
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€2,255.11
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Benefits
- Unified test visibility: View UI, API, and unit test results in one place
- AI-assisted failure analysis: AI tags failure reasons and groups similar errors for faster debugging
- Timeline debugging: Inspect logs, screenshots, and test history in a single pane
- Quality gates: Define automated rules to block unreliable builds before merging
- CI and framework integrations: Integrates with CI systems and common test frameworks via SDKs
Available languages
- English
Support information
- Documentation and guides: Detailed setup, integration, and feature docs available on the BrowserStack site
- Sandbox environment: An online sandbox is available to explore features without setup or sign-up
- Community support: Developer community on Discord provides peer help and discussion
- Status and release notes: Service status and product release notes are published on BrowserStack pages
- Enterprise support options: Enterprise customers have access to priority support features and SSO as listed on product pages
Frequently asked questions
What is BrowserStack Test Observability?
A solution that centralizes telemetry and artifacts from automated browser and mobile tests, enabling teams to view test runs, correlate failures with contextual data, and streamline debugging and analysis.
What types of test artifacts does it collect?
Common artifacts include logs, console output, network traces, screenshots, video recordings, and basic performance metrics captured during automated test executions.
How does it help with test failure debugging?
By correlating failure events with collected artifacts and timelines, teams can trace steps leading to a failure, inspect related logs and media, and reduce time spent reproducing issues.
How does it integrate with CI/CD pipelines and test frameworks?
Integrations and APIs allow ingesting test runs from CI pipelines and test frameworks, enabling automated upload of results and artifacts as part of existing build and test workflows.