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What is TestBooster.ai?

TestBooster.ai represents a cutting-edge test automation solution that leverages artificial intelligence to simplify the development of automated tests for both web and mobile platforms, allowing teams to compose tests in plain English or Portuguese without requiring any coding skills or selector adjustments. The intent-driven AI comprehends user instructions and conducts thorough testing across diverse environments, adapting seamlessly to alterations in layouts or UI elements, thereby reducing the frequency of broken tests and minimizing the maintenance burden often linked to selector-based testing tools. This versatile platform supports a broad spectrum of testing methodologies, such as regression, functional, usability, response time, API, code-based, web, and mobile testing, all while integrating with continuous testing workflows. Users can observe test executions in real time and access a wealth of documentation, including detailed screenshots, logs, results, and actionable insights. When a test fails, TestBooster identifies the specific problem area and provides improvement suggestions, equipping teams with the tools to effectively analyze and enhance their testing strategies. This holistic approach not only optimizes the testing process but also significantly bolsters the quality assurance initiatives of organizations, ensuring that they deliver superior software products. In this way, TestBooster.ai transforms the landscape of test automation, making it more accessible and efficient for development teams everywhere.

What is ReportPortal?

Investigate the reasons for failures immediately following the completion of the testing phase. Generate concise and comprehensible reports for your team members. Leverage machine learning-powered auto-analyzers to explore the factors contributing to the failures. Aggregate test results from various platforms, frameworks, and programming languages, ensuring that actionable insights are provided. By utilizing machine learning algorithms, you can reveal trends within the test data, pinpoint the root causes of failures, and predict future testing results. Complement the automated analysis with a manual review of test logs and new failure trends observed in the most recent test executions. Facilitate automated decision-making in release pipelines by following established testing standards and outcomes. Display test results in a manner that enhances the tracking of trends, allows for the identification of patterns, generates insights, and supports well-informed business decisions. Conduct regular evaluations of your product's status and automate release choices using Quality Gates to improve both efficiency and reliability. This comprehensive strategy not only simplifies the testing process but also plays a vital role in elevating the overall quality of the product while ensuring teams remain informed and proactive.

Media

Media

Integrations Supported

Integrations Supported

Active Directory
Azure DevOps
Docker
GitHub
GitLab
JUnit
Jira
Kubernetes
Microsoft Azure
Microsoft Hyper-V
Okta
Rally
Robot Framework
Sauce Labs
Slack
monday AI work platform
testRigor
vStellar

API Availability

Has API

API Availability

Pricing Information

$0.16 per credit

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

TestBooster.ai

Date Founded

2025

Company Location

United States

Company Website

www.testbooster.ai/

Company Facts

Organization Name

ReportPortal

Date Founded

2013

Company Location

United States

Company Website

reportportal.io

Categories and Features

Categories and Features

Automated Testing

Not specified

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