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What is walrus.ai?

We empower individuals to leverage their strengths while allowing machines to perform at peak efficiency. The walrus.ai command-line interface provides the most straightforward way to execute thorough tests on your application. It allows you to set up tests either directly within the command line or through organized YML files. You have the option to submit your tests via our intuitive dashboard or the walrus.ai CLI. Our system transforms your specified instructions into an automated testing framework seamlessly. Test outcomes are readily available through our dashboard, at the command line, or via various integrations. We meticulously monitor each model execution to identify any alterations in the application or possible false failures. By re-verifying your tests, we ensure you won't face misleading results, whether positive or negative. Additionally, you can evaluate even the most complicated user interactions using straightforward language, as we handle all the details for you. This not only streamlines the testing process but also allows you to concentrate on enhancing your application without the burden of testing complexities. Ultimately, our approach fosters a collaborative environment between human creativity and machine efficiency, ensuring optimal results.

What is TestBench for IBM i?

Managing and testing data for IBM i, IBM iSeries, and AS/400 systems necessitates a meticulous approach to validating intricate applications, right down to the data they rely on. TestBench for IBM i provides a powerful and dependable framework for managing test data, verifying its integrity, and conducting unit tests, all while integrating effortlessly with other tools to enhance overall application quality. Rather than replicating the entire production database, you can concentrate on the critical data necessary for your testing operations. By selecting or sampling relevant data without compromising referential integrity, you can optimize the testing workflow. It becomes straightforward to pinpoint which data fields need protection, allowing you to implement various obfuscation methods to ensure data security. Furthermore, you can keep track of every data operation, including inserts, updates, and deletions, as well as their intermediate states. Establishing automatic alerts for data abnormalities through customizable rules can greatly minimize the need for manual monitoring. This methodology eliminates the cumbersome save and restore processes, clarifying any discrepancies in test outcomes that may arise from insufficient initial data. While comparing outputs remains a standard practice for validating test results, it can be labor-intensive and prone to errors; however, this cutting-edge solution can significantly cut down on the time required for testing, resulting in a more efficient overall process. With TestBench, not only can you improve your testing precision, but you can also conserve valuable resources, allowing for a more streamlined development cycle. Ultimately, adopting such innovative tools can lead to enhanced software quality and more reliable deployment outcomes.

Media

Media

Integrations Supported

GitHub

Integrations Supported

IBM i
QF-Test

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$1,200 per user per year
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

walrus.ai

Date Founded

2018

Company Location

United States

Company Website

walrus.ai/

Company Facts

Organization Name

Original Software

Date Founded

1997

Company Location

United Kingdom

Company Website

originalsoftware.com/products/testbench/

Categories and Features

Automated Testing

Not specified

Software Testing

Not specified

Categories and Features

Automated Testing

Not specified

Data Extraction

Not specified

Data Masking

Not specified

Software Testing

Not specified

Test Data Management

Not specified

Test Management

Not specified

Unit Testing

Not specified

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