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Description

Having the most skilled developers isn't enough if testing processes are hindering their progress; in fact, a staggering 80% of your software tests may be ineffective. The challenge lies in identifying which 80% is truly unnecessary. We utilize your data to pinpoint the essential 20%, enabling you to accelerate your release process. Our predictive test selection tool, inspired by machine learning techniques employed by leading companies like Facebook, is designed for easy adoption by any organization. We accommodate a variety of programming languages, test frameworks, and continuous integration systems—just integrate Git into your workflow. Launchable employs machine learning to evaluate your test failures alongside your source code, sidestepping traditional code syntax analysis. This flexibility allows Launchable to effortlessly extend its support to nearly any file-based programming language, ensuring it can adapt to various teams and projects with differing languages and tools. Currently, we provide out-of-the-box support for languages including Python, Ruby, Java, JavaScript, Go, C, and C++, with a commitment to continually expand our offerings as new languages emerge. In this way, we help organizations streamline their testing process and enhance overall efficiency.

Description

OpenText Functional Testing offers a comprehensive, AI-enhanced test automation platform designed to accelerate end-to-end functional and regression testing across diverse enterprise environments. It supports over 200 GUI and API technologies, enabling testing for desktop, web, mobile, mainframe, composite, and packaged applications from a single platform. AI-powered features, including machine learning and advanced OCR, improve object recognition accuracy and simplify test creation and maintenance. The solution supports cross-browser coverage, allowing users to script once and replay tests across leading browsers like Chrome, Firefox, Safari, Edge, and Internet Explorer. Parallel test execution boosts efficiency by running multiple tests simultaneously across different environments, while seamless CI/CD integration enables faster feedback loops. OpenText Functional Testing fosters team collaboration with reusable actions that can be shared across projects. The platform integrates within a DevOps-enabled toolchain to eliminate bottlenecks and improve delivery speed. This comprehensive approach helps businesses ensure software quality while accelerating release cycles.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Android
Apple iOS
Bitbucket
Digital.ai Release
GitHub
GitLab
Gradle
JUnit
Jenkins
Jest
Klaros-Testmanagement
Kubernetes
Maven
NUnit
OpenText Functional Testing Lab for Mobile and Web
RemoteLaunch
Travis CI
Tricentis Tosca
pytest

Integrations

Amazon Web Services (AWS)
Android
Apple iOS
Bitbucket
Digital.ai Release
GitHub
GitLab
Gradle
JUnit
Jenkins
Jest
Klaros-Testmanagement
Kubernetes
Maven
NUnit
OpenText Functional Testing Lab for Mobile and Web
RemoteLaunch
Travis CI
Tricentis Tosca
pytest

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Launchable

Country

United States

Website

www.launchableinc.com

Vendor Details

Company Name

OpenText

Founded

1991

Country

Canada

Website

www.opentext.com/products/functional-testing

Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Software Testing

Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing

Product Features

API Testing

Functional Testing
Fuzz Testing
Load Testing
Penetration Testing
Runtime and Error Detection
Security Testing
UI Testing
Validation Testing

Automated Testing

Hierarchical View
Move & Copy
Parameterized Testing
Requirements-Based Testing
Security Testing
Supports Parallel Execution
Test Script Reviews
Unicode Compliance

Functional Testing

Automated Testing
Interface Testing
Regression Testing
Reporting / Analytics
Sanity Testing
Smoke Testing
System Testing
Unit Testing

Software Testing

Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing

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