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What is Launchable?
Having a team of highly skilled developers is not sufficient if the testing methodologies are obstructing their workflow; in fact, around 80% of software tests may prove to be ineffective. The real challenge is determining which 80% of those tests can be deemed unnecessary. By leveraging your data, we can identify the crucial 20%, thereby speeding up your release cycles. Our predictive test selection tool is influenced by machine learning strategies used by industry leaders such as Facebook, making it accessible for organizations of all sizes. We support a wide array of programming languages, testing frameworks, and continuous integration systems—simply integrate Git into your existing workflow. Launchable harnesses machine learning to analyze your test failures in conjunction with your source code, avoiding the pitfalls of conventional code syntax evaluation. This adaptability allows Launchable to seamlessly extend its compatibility to almost any file-based programming language, catering to diverse teams and projects that utilize various languages and tools. At present, we offer immediate support for languages such as Python, Ruby, Java, JavaScript, Go, C, and C++, while also pledging to continually broaden our language support as new ones emerge. By streamlining the testing process, we empower organizations to significantly boost their overall efficiency and focus on what truly matters—their core development goals. Ultimately, our approach not only optimizes testing but also enhances the productivity of development teams.
What is Cerberus Testing?
Cerberus Testing streamlines continuous testing with a low-code software solution that scales efficiently. This innovative tool removes the necessity for establishing an internal testing framework for an extended period. It empowers users to swiftly navigate through the entire testing lifecycle, encompassing test repository management, execution, and report generation. Furthermore, the platform fosters collaboration among teams, enabling them to work together from the creation of use cases to the execution of test cases across various browsers and devices. To facilitate large-scale test execution, users can tap into either their own or third-party robotic infrastructures, allowing a stronger focus on delivering business value. The solution also offers numerous integrations, including Bitbucket and Slack, to enhance implementation speed. As an open-source initiative, it benefits from the contributions of several major digital and retail companies, such as La Redoute, Decathlon, Adeo, and Norauto, ensuring its continuous improvement and relevance in the industry. This collaborative effort not only enriches the software's features but also builds a robust community around it.
Integrations Supported
Bitbucket
Jenkins
Amazon Web Services (AWS)
Android
Apache Kafka
Apple iOS
Cucumber
Cypress
GitHub
GitLab
Integrations Supported
Bitbucket
Jenkins
Amazon Web Services (AWS)
Android
Apache Kafka
Apple iOS
Cucumber
Cypress
GitHub
GitLab
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
€0
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Launchable
Company Location
United States
Company Website
www.launchableinc.com
Company Facts
Organization Name
Cerberus Testing
Date Founded
2003
Company Location
France
Company Website
cerberus-testing.org
Categories and 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
Categories and 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
Mobile App Testing
Functional Testing
Installation Testing
Interruption Testing
Memory Testing
Performance Testing
Usability Testing