Modern Software Testing: Playwright, Gen AI, and Machine Learning Models for Enhanced Efficiency
rahulshettyacademy0
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13 slides
Oct 19, 2024
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About This Presentation
Playwright, Gen AI, and machine learning models are used in modern software testing to make the process quicker and more intelligent. Venkatesh (Rahul Shetty) provides innovative techniques to increase the effectiveness of testing. Visit our website at https://rahulshettyacademy.com/ to find out mor...
Playwright, Gen AI, and machine learning models are used in modern software testing to make the process quicker and more intelligent. Venkatesh (Rahul Shetty) provides innovative techniques to increase the effectiveness of testing. Visit our website at https://rahulshettyacademy.com/ to find out more about us.
Size: 20.04 MB
Language: en
Added: Oct 19, 2024
Slides: 13 pages
Slide Content
MODERN SOFTWARE
TESTING: PLAYWRIGHT,
GEN AI, AND MACHINE
LEARNING MODELS FOR
ENHANCED EFFICIENCY
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Software testing ensures that
applications work as expected. It helps
identify bugs early, saving time and cost.
Modern techniques like Gen AI,
Playwright, and machine learning models
improve testing efficiency.
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Playwright Tutorial
Basics
Playwright is a powerful testing tool for web
applications. It automates browsers like Chrome,
Firefox, and Safari. In this Playwright tutorial, you’ll
learn how to set up and write basic test scripts.
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Advantages of
Playwright in Testing
Playwright supports multiple browsers and
can run tests in parallel. This helps reduce
test execution time. It is also ideal for cross-
browser testing, making it a popular choice
for developers.
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Gen AI in Software
Testing Software testing ensures that
applications work as expected. It helps
identify bugs early, saving time and cost.
Modern techniques like Gen AI,
Playwright, and machine learning models
improve testing efficiency.
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Benefits of Gen AI in Testing
Gen AI can quickly analyze large datasets and identify
potential testing scenarios. This reduces manual effort,
ensuring more comprehensive test coverage and faster
test execution times.
Testing Machine
Learning Models
To make sure machine learning models
function successfully in real-world
situations, testing is essential. Testers use
a variety of testing techniques and datasets
to verify the model's fairness, correctness,
and dependability.
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Challenges in Testing
Machine Learning Models
Testing machine learning models comes with
challenges like handling large datasets and
ensuring model stability. Testers need to verify
if the models are performing consistently with
new data inputs.
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How Playwright Supports
Machine Learning Testing
Playwright can simulate real-world user
interactions with machine learning-
based applications. This ensures that
models perform accurately in diverse
scenarios, providing a robust testing
environment.
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Combining Gen AI with
Playwright
Combining Gen AI with Playwright enhances
test automation by generating test cases for
web applications. This powerful combination
improves test accuracy and coverage while
saving time.
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Incorporating Playwright, Gen AI, and
machine learning model testing into
software testing strategies helps deliver
better-quality applications. These tools
ensure faster, more efficient, and reliable
testing processes.
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