AI Testing What Why and How To Do It

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AI Testing What, Why How To Do It?
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AI Testing What Is It?
To produce better results, AI testing uses
automated software tools that use artificial
intelligence (AI), typically machine learning.
These apparatuses can defeat many of the normal
obstacles of computerized programming testing.
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Key Statistics
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6.83 of firms believe AI is a strategic emphasis
for their business.
61 of business owners use artificial
intelligence as their organizations most crucial
data-driven endeavours.
By using AI testing, businesses can increase
their productivity by 40.
By 2025, the AI testing industry will be a 190
billion industry.
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AI Testing Why To Use?
1.Test Execution
A test suite that takes a long to run is
different from what anyone wants. There are
several ways that AI testing tools can ease that
pain.
2. Excessive Test Upkeep
Using machine learning to develop a more
sophisticated strategy for locating elements on
the page and producing more robust tests, an
AI-powered tool like Testim Automate can address
this issue.
3. Superior Quality Test Cases
By locating existing, reusable components that
can be called rather than duplicated,AI testing
tools can generate test cases at the unit and
even API levels.
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4. Efforts to Test Waste
Test cases with a known and proven reusable group
can help ensure your test case completes
consistently.
5. Test Coverage
AI testing tools may identify, remove, or skip
low test cases during execution by identifying
and creating new cases by analyzing previous
exploratory testing sessions to ensure greater
coverage.
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AI Testing How To Do It?
Lets look at some AI-powered tools to start your
AI testing journey.
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1. Difblue Cover
It is an AI tool for creating unit tests with
Java code. It is available as a CLI tool and a
plugin for IntelliJ IDEA. It looks over your code
and creates unit tests consistent with what
youve implemented.
2. FBInfer
It is a static analysis tool that uses artificial
intelligence to find potential flaws in the
source code before it is shipped to production.
Its shift left testing at its best.
3. Testim Automate
It is a test automation platform that uses
machine learning to address two of software
testings most persistent issues high test
maintenance and slow test authoring.
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