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November 29, 2023

Harness | AI Test Automation

United States Harness Software testing

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AI-powered Assertions AI-feature Testing Automated Testing Test Suite Robustness Test Maintenance Intent-based Tests

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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.

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Harness | AI Test AutomationInitial

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March 29, 2022

Initial release of Harness | AI Test Automation.

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Organization Harness 🇺🇸 United States

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Software testing Harness | AI Test Automation

United States Harness Software testing

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Pros and 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

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

View 38 more pros

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

View 3 more cons

Q&A

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.

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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.

How does AI Test Automation speed up the process of creating high quality end-to-end tests?

AI Test Automation speeds up the creation of high-quality end-to-end tests through use of AI-powered assertions. These assertions enable the tool to generate intent-based tests that can catch subtle bugs without requiring scripting. This automated test generation approach removes the need for time-consuming manual scripting, enabling faster test creation.

What does it mean when AI Test Automation says it has self-healing capabilities?

When AI Test Automation says it has self-healing capabilities, it means the tool is able to automatically adapt to changes in the UI and workflows. This feature significantly reduces the time and effort needed for test maintenance, ensuring the test suite remains effective without requiring constant updates.

How does AI Test Automation save developers time on test maintenance?

AI Test Automation saves developers time on test maintenance through its self-healing capabilities and Smart Selector Technology. These features allow the tests to auto-adapt to any changes in the UI and workflows, thereby decreasing the time typically spent on maintaining and updating test scripts.

In what ways can AI Test Automation be integrated into my existing CI/CD pipeline?

AI Test Automation can be integrated into your existing CI/CD pipeline with just one click. This seamless integration allows you to run tests efficaciously across multiple environments, making the process of software delivery simpler and more streamlined.

What does 'intent-based tests' mean in the context of AI Test Automation?

'Intent-based tests' in the context of AI Test Automation refers to tests that are created based on the intended outcome of an action, rather than specific exact actions or sequences. Leveraging AI, these tests are able to interpret plain-English criteria, and thus, can detect subtle bugs without necessitating scripting.

Does AI Test Automation offer the ability to run tests seamlessly across different environments?

Yes, AI Test Automation does allow for the execution of tests seamlessly across different environments. This capability is provided by its Smart Selector Technology, transcending environment-specific changes and ensuring the tests remain effective and reliable, regardless of the environment they're run in.

How does AI Test Automation catch subtle bugs without requiring scripting?

AI Test Automation catches subtle bugs without requiring scripting through its use of AI-powered assertions. These assertions rely on intent-based tests that allow the tool to analyze application behavior and identify discrepancies, which potentially represent bugs, without the need for complex scripting.

Can AI Test Automation test AI-powered features of applications?

Yes, AI Test Automation can test AI-powered features of applications. It is designed to evaluate sophisticated functionalities such as chatbots and autonomous agents. It executes these tests based on plain-English criteria and measures the outcome against the intended result to determine if the application behaves as expected.

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