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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 EMCVu?

Are you aware that nearly half of all projects fail their initial EMC testing? To cut costs and boost the likelihood of passing these evaluations, more companies are choosing to conduct EMC pre-compliance testing in-house. EMCVu is a cutting-edge software solution that, when used alongside a real-time spectrum analyzer, offers a thorough tool for pre-compliance testing and troubleshooting. This allows engineers to quickly, easily, and accurately determine if their new product designs are ready for EMC testing facilities. To obtain the EMCVu EMC testing software, you need the latest version of the SignalVu-PC spectrum analyzer software, specifically V3.13. Following that, a licensing key must be acquired to activate EMCVu. You have the option to either download a free trial license or purchase one through the "request a quote" links found in the accompanying table. This approach empowers engineers to optimize their testing procedures and significantly improve their chances of achieving compliance. Ultimately, EMCVu represents a strategic investment for businesses looking to enhance their product development processes.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Android
Apple iOS
Bitbucket
Cucumber
Cypress
GitHub
GitLab
Gradle
JUnit
Jenkins
Jest
Kubernetes
Maven
NUnit
Travis CI
pytest

Integrations Supported

Amazon Web Services (AWS)
Android
Apple iOS
Bitbucket
Cucumber
Cypress
GitHub
GitLab
Gradle
JUnit
Jenkins
Jest
Kubernetes
Maven
NUnit
Travis CI
pytest

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Tektronix

Date Founded

1946

Company Location

United States

Company Website

www.tek.com/landing-page/emcvu-software-and-accessories

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

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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