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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 Kovair Test Management?
Kovair's integrated test management solution greatly improves the effectiveness of software testing methodologies. With the growing variety of applications—including hybrid systems, cloud services, mobile technologies, and DevOps frameworks—testing has become more intricate and challenging. To address these complexities, companies need strong test management solutions that support ongoing testing and fast-track the delivery of superior software. Kovair Test Management includes several essential features that make it a flexible option, designed to cater to various organizational requirements. It offers a cohesive web interface that links test management with different phases of the software development lifecycle, fostering enhanced quality. In addition, the platform ensures comprehensive traceability across diverse tool data, which boosts release predictability. It also promotes continuous testing by seamlessly integrating with numerous CI/CD tools, helping organizations sustain a consistent workflow. By adopting this all-encompassing strategy, Kovair emerges as an indispensable ally for organizations striving to tackle the challenges of contemporary software development, illustrating its commitment to supporting clients in achieving their testing objectives.
Integrations Supported
Amazon Web Services (AWS)
Android
Apple iOS
Bitbucket
Cucumber
Cypress
GitHub
GitLab
Gradle
JUnit
Integrations Supported
Amazon Web Services (AWS)
Android
Apple iOS
Bitbucket
Cucumber
Cypress
GitHub
GitLab
Gradle
JUnit
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
Kovair Software
Date Founded
2000
Company Location
United States
Company Website
www.kovair.com/alm/test-management/
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
Financial Services
Analytics
Branch Optimization
Channel Management
Compliance Management
Customer Engagement
Performance Management
Risk Management
Performance Testing
API Testing
Benchmarking
Cross Browser Testing
Debugging
Historical Reporting
Load Testing
Mobile Testing
Parallel Testing
Regression Testing
UI Testing
Web Testing