Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
CoTester stands as the pioneering AI agent for software testing, poised to revolutionize the field of software quality assurance. This innovative tool is capable of identifying bugs and performance problems both prior to and following deployment, delegating these issues to team members, and ensuring their resolution. Designed to be onboardable, taskable, and trainable, CoTester can perform daily tasks akin to a human software tester, smoothly fitting into current workflows. With its pre-training in advanced software testing principles and the Software Development Life Cycle (SDLC), it significantly enhances the efficiency of quality assurance teams by facilitating the writing, debugging, and execution of test cases at a speed up to 50% faster. Furthermore, CoTester exhibits conversational adaptability, enabling it to comprehend and address intricate testing scenarios while constructing high-quality context tailored to specific project needs. Its seamless integration with existing knowledge bases allows for effective access and utilization of current project documentation, making it an essential asset for any software development team. As a result, CoTester not only improves testing efficiency but also enhances collaboration among team members, ultimately contributing to superior software quality.
Description
As the demand for rapid software development rises to satisfy both business requirements and user expectations, internal technology teams face increasing pressure to swiftly assess the quality of their software. To enhance the productivity and efficiency of software quality assurance, Infor® Testing as a Service (TaaS) offers a solution that enables fast execution and comprehensive analytics. This allows organizations to roll out new software versions with assurance, thereby reducing the likelihood of issues following deployment. With Infor TaaS, users benefit from advanced automation tools, accessible cloud execution, and valuable insights for decision-making. While many companies rely on numerous tools to evaluate aspects like user experience, functional needs, data services, integration, and application performance, Infor® TaaS streamlines this process by providing a unified platform that addresses both functional and non-functional testing requirements, ensuring a thorough evaluation of software quality. By consolidating testing efforts into one service, organizations can save time and resources, ultimately leading to improved software delivery outcomes.
API Access
Has API
API Access
Has API
Integrations
Airtable
Android
Appium
Apple iOS
Asana
Azure DevOps Server
CircleCI
ClickUp
Cypress
GitHub
Integrations
Airtable
Android
Appium
Apple iOS
Asana
Azure DevOps Server
CircleCI
ClickUp
Cypress
GitHub
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
TestGrid.io
Founded
2015
Country
United States
Website
testgrid.io/cotester
Vendor Details
Company Name
Infor
Founded
2002
Country
United States
Website
www.infor.com/products/testing-as-a-service-taas
Product 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
Product 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