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Software testing

Harness | AI Test Automation ✓

Code, test, and ship faster with AI.

1.4k views 6 saves Unknown
AI-powered Assertions AI-feature Testing Automated Testing
More categories (4)
Test Suite Robustness Test Maintenance Intent-based Tests Software testing
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Verdict

A quick read before you dig into the full page.

Best if
Code, test, and ship faster with AI
Skip if
Requires initial learning curve
Pick this when
Efficiency in test creation

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Overview

AI Test Automation, a tool by Harness, is a robust solution that leverages artificial intelligence to bring efficiency to the process of testing in software development.

Primarily, this tool assists developers in creating high-quality end-to-end tests in lesser time, thereby promoting agility in DevOps workflows. It uses AI-powered assertions to create intent-based tests, effectively catching subtle bugs without necessitating scripting.

This tool also makes it effortless to maintain and scale tests. With the Smart Selector technology, tests can be seamlessly run across different environments, saving developers significant time on test maintenance.

Furthermore, integration with Harness's existing CI/CD pipeline can simplify software delivery, requiring just a single click to initiate integration.

Notably, the AI Test Automation tool can evaluate applications to test AI-powered features, such as chatbots and autonomous agents. Using plain-English criteria, it replaces brittle string-matching checks, and analyzes intent rather than exact wording, much like a real user would.

This tool also boasts self-healing capabilities, which can reduce test maintenance by adapting to UI and workflow changes. Overall, AI Test Automation is a potent tool in enhancing software reliability testing and improving test suite robustness.

Harness | AI Test Automation website

Access & connections

Where you can use Harness | AI Test Automation.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • Text

Output

  • Text

Supported features

  • QA Automation

Pros & cons

Pros

  • Efficiency in test creation
  • Promotes DevOps agility
  • No need for scripting
  • Easy test maintenance
  • Scalable testing
  • Smart Selector technology
  • Multi-environment testing
  • Single-click CI/CD integration
Show 35 more
  • Tests chatbots, autonomous agents
  • Plain-English based checks
  • Checks chatbots task completion
  • Checks agents tool calls
  • Intent analysis over syntax
  • Self-healing capabilities
  • Adapts to UI changes
  • Adapts to workflow changes
  • Improves test suite robustness
  • Improves software reliability testing
  • Automatic step recording
  • Seamless CI/CD pipeline integration
  • Visual regression detection
  • No-code test authoring
  • Automatic UI adaptation
  • Reduced testing time
  • High-quality end-to-end tests
  • Automatic test generation
  • Intelligent test generation
  • Reduced manual intervention
  • Predictive analytics for defect detection
  • Automated repetitive task handling
  • Identifies high-risk test areas
  • 70% reduced test maintenance
  • 10 times faster test creation
  • Significant time saving
  • Built-in retries for validation
  • Can validate through browser
  • Can test across environments
  • High-speed software release cycles
  • Over 10, 000 quality releases
  • Page validation with summary
  • Accelerated innovation with modern toolchain
  • Discovers subtle bugs without scripting
  • Resilience Testing new feature

Cons

  • Restricted to Harness's CI/CD
  • Might increase costs
  • Requires initial learning curve
  • Relies on quality training data
  • Mystery 'black box' debugging
  • Entails skills development
  • Complex integration with systems
  • Setup time is lengthy

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Releases 1

Initial release March 29, 2022 Current
Initial release of Harness | AI Test Automation.

FAQ 12

What is AI Test Automation by Harness?
AI Test Automation by Harness is a cutting-edge tool that uses artificial intelligence to enhance the efficiency of testing in software development. Its primary function is to assist developers in creating top-quality end-to-end tests quickly which subsequently bolsters agility in DevOps workflows. This tool also has the ability to effortlessly maintain and scale tests, run tests seamlessly across different environments using Smart Selector Technology, and integrate smoothly with Harness's CI/CD pipeline.
What are the AI-powered assertions in AI Test Automation?
The AI-powered assertions in AI Test Automation are automated checks designed to verify specific outcomes in the system. These assertions utilize artificial intelligence to generate intent-based tests that are capable of identifying and capturing subtle bugs without needing any scripting. They function by analysing the intent of the tests rather than the exact wording.
How does AI Test Automation promote agility in DevOps workflows?
AI Test Automation promotes agility in DevOps workflows by enabling developers to create high-quality, end-to-end tests in less time. This accelerated testing pace allows for quicker iterations, faster feedback loops, and rapid adaptation to changes which form the cornerstone of agile methodology in DevOps.
What is the role of Smart Selector Technology in AI Test Automation?
The role of the Smart Selector Technology in AI Test Automation is to simplify the process of executing tests across different environments. It's a technology that enables tests to self-adjust when UI elements change, reducing the time developers spend on test maintenance.
How does AI Test Automation integrate with Harness's CI/CD pipeline?
AI Test Automation integrates with Harness's existing CI/CD pipeline to simplify the process of software delivery. The integration requires just a single click to initiate, providing a seamless method of running tests through the pipeline. This can potentially save developers valuable time during the testing and deployment process.
Can AI Test Automation evaluate chatbots and autonomous agents?
Yes, AI Test Automation is capable of evaluating AI-powered features such as chatbots and autonomous agents. It is programmed to replace brittle string-matching checks with plain-English criteria evaluated through AI, simulating the checks a real user would perform.
How does AI Test Automation use plain-English criteria?
AI Test Automation uses plain-English criteria to create and execute tests. Instead of relying on complex code or scripts, developers can input their test cases and assertions in plain-English terms. This feature makes the tool accessible to users with little to no coding skills while also speeding up the test creation process.
How does AI Test Automation analyze intent rather than exact wording?
AI Test Automation analyzes intent rather than exact wording by employing AI-powered assertions that interpret the desired outcomes from test cases in plain-English. This intent-based examination approach allows for a flexible and effective method for catching subtle bugs in the software.
Can AI Test Automation adapt to UI and workflow changes?
Yes, AI Test Automation can adapt to UI and workflow changes. It possesses self-healing capabilities that allow it to automatically adapt when UI elements change, ensuring the tests remain robust without any manual intervention. This feature significantly reduces the test maintenance efforts and keeps the tests up-to-date.
How does AI Test Automation improve software reliability testing?
AI Test Automation enhances software reliability testing by leveraging artificial intelligence to quickly and efficiently detect subtle bugs in the system. It replaces brittle string-matching checks with intent-based tests, which are more effective in identifying potential errors and inconsistencies in the code.
Does AI Test Automation increase the robustness of the test suite?
Yes, AI Test Automation increases the robustness of the test suite. It uses artificial intelligence to make the test suite self-healing, enabling tests to adapt to UI and workflow changes without manual intervention. This feature maintains the effectiveness of the tests and ensures they remain capable of catching bugs as the software evolves.
How does AI Test Automation bring efficiency to software development testing?
AI Test Automation brings efficiency to software development testing by employing artificial intelligence to streamline the creation, execution, and maintenance of tests. This efficiency is especially evident in its ability to create high-quality end-to-end tests in less time which in turn, accelerates the software development lifecycle.
Harness | AI Test Automation
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