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What is vREST?

To ensure the reliability of your REST APIs, create detailed test cases, run them, and analyze the results for any inconsistencies using a Diff Report, among other features. Effortlessly integrate with platforms like JIRA, Jenkins, Team City, Bugzilla, and Slack to keep your team informed about test failures, while also ensuring compatibility with any build or continuous integration framework. With the use of API Mocks, front-end developers can progress in their work independently from back-end APIs, facilitating parallel development alongside backend teams. vREST sets itself apart from competitors not only through its intuitive interface and outstanding customer support but also with exclusive features that enhance user experience. For those who may hesitate to write test cases, vREST provides a straightforward option to record them just by interacting with your application. Additionally, the vrunner tool allows for seamless execution of your test cases by simply typing a command in your terminal, which means that each time you deploy your application, a single command is all that's needed to verify the functionality of your APIs. This efficient process greatly boosts productivity across your development team and fosters a more agile workflow. By adopting such tools and practices, teams can ensure higher quality in their software delivery.

What is Virtual REX?

Electromagnetic sensors consist of two primary elements: a "front-end" that produces and detects electromagnetic waves through a subsystem called the Receiver/Exciter (REX), and a "back-end" tasked with processing both signal and data, typically managed by software. Each subsystem must be developed separately before they can be integrated effectively. The creation of a fully functional sensor grows more intricate and time-consuming due to unexpected obstacles encountered during integration testing. This intricacy primarily arises from the dependencies between subsystems that are challenging to test when developed individually. Consequently, any required software updates, configuration changes, adjustments to waveforms, or upgrades to technology may lead to significantly increased costs, as they usually necessitate on-site verification with the actual hardware of the front-end. To alleviate these challenges, the Virtual Receiver/Exciter (VREX) employs a simulated front-end, which enhances the efficiency of the testing and integration process. By utilizing a virtual model, developers can proactively identify and rectify potential integration challenges much earlier in the development timeline, ultimately leading to a more streamlined workflow and reduced costs in the long run. This proactive approach not only saves time but also enhances the overall quality of the final product.

Media

Media

Integrations Supported

Bugzilla
Jenkins
Jira
Slack
Swagger
Visual Studio

Integrations Supported

Bugzilla
Jenkins
Jira
Slack
Swagger
Visual Studio

API Availability

Has API

API Availability

Has API

Pricing Information

$20 per month
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

vREST

Company Location

India

Company Website

vrest.io/solutions

Company Facts

Organization Name

FishEye

Company Website

fisheye.net/products/vrex/

Categories and Features

API Testing

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

Categories and Features

Simulation

1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling

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