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Leveraging AI for Mobile App
Testing on Real Devices
1
2
Agenda
Challenges in Native Mobile Software Delivery
Applitools Intelligent Testing Platform
Integration Demo: Manual to Automation with Visual AI
Q&A
Challenges in Native Mobile
Software Delivery
3
4
With an exponential growth in complexity and
scale, software teams need a new way to test
Volume
Surging amount of interfaces,
states, and scenarios to verify
Complexity
UIs are more complex and
dynamic than ever before
Velocity
Escalating frequency of new
features and code deploys
Resources
Limited team budgets =
“do more with less”
With an exponential growth in complexity and
scale, software teams need a new way to test

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Experitest & Infosys held a co-webinar, discussing Continuous Integration & Mobile Performance Test Strategies, Tools and Certification services that can guarantee a quality app for the end user.

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Top Automated UI Testing Tools 2023.pdf
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With the majority of society heavily relying on the internet to complete their daily tasks, it’s vital that these interactions are seamless and satisfactory.

testing tools
5
Poor Test Coverage
Both manual testing and traditional test
automation suffer from validating a
finite amount of explicit scenarios in a
finite amount of time.
Slow Release Cycles
Rapidly changing UIs in today’s
multi-screen environment require a
large number of end-to-end tests that
need to be constantly rewritten.
Expensive QA Costs
To keep up with modern development,
organizations require an ever-growing
number of expensive headcount
dedicating time to testing software.
Traditional testing can’t keep up
Traditional testing
scales linearly
with more resources
2000 2005 2010 2015 2020 2025
Release
Frequency
x
Application
Complexity
x
Device
Proliferation
Increasing complexity
of software quality
Traditional test
automation cannot
meet the demands of
the business
6
Accelerate Mobile Delivery
● Mobile QA takes 3-10X longer than web testing
● 1 Hour CT for Mobile
More Productivity Less Cost
● Path to Mobile Test Automation is Hard
● AI-Driven Automation Improves Productivity for
Devs, Testers and Automation Engineers
Maximize Revenue with Better Mobile CX
● Quality is a blocker for mobile adoption and revenue
● Visual + Accessibility Validations
What is Your Team’s Mobile Maturity?
90% of orgs have low to mid maturity
Customer Experience depends on
your mobile delivery practices
7
Mobile Test Cases Automated Today
vs. Desired Level of Automation
Desire to Automate
Developers and
testers directly
involved with
mobile testing
100+ employees
Late Q4 2023
Kobiton Primary
Research:
>75%
50-75%
10-24%
<10%
0%
25-49%
% Of test cases automated today % You would like automated
0 10 20 30 40
Respondents
50
8
Today’s Native Mobile testing toolchain is
disparate and siloed
AUTHOR
EXECUTE
ANALYZE Disparate Dashboards

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This document provides an overview of how to deliver winning mobile apps through continuous quality. It discusses establishing a mobile QA plan based on continuous quality lab (CQL) principles, including functional and non-functional testing, regression testing, and pillars of a CQL. It also outlines mobile QA best practices such as building a proper test plan, establishing a continuous integration workflow, and implementing a continuous automation regression model. The key is leveraging a hybrid cloud approach using real devices to ensure high quality, velocity, and market responsiveness for mobile apps.

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In today’s digital economy, software developers cannot afford to rely on anything less than the latest software development practices to deliver efficient products and services. As per the data reported by Statista, the number of mobile app downloads globally has been increasing from 2016 onward, surpassing 200 billion in 2019. In 2021, consumers downloaded 230 billion mobile apps to their connected devices, an increase of more than 63% from 140.7 billion app downloads in 2016.

software testing
Applitools Intelligent Testing Platform
9
10
PREFLIGHT EYES SDKs
INTEGRATE
GIT
CI/CD
Functional
Testing
Visual
Testing
Accessibility
Testing
Codeless
Testing
Data
Generation
OPS
DESIGN
AUTHOR
VALIDATE
ANALYZE
AUTONOMOUS
Web
Crawler
NLP Based
Testing
VISUAL AI
Automated
Maintenance
Root Cause
Analysis
Dashboards &
Reporting
Insights &
Optimizations
The Applitools Intelligent Testing Platform + Kobiton
Full support for automated and manual testing on real devices
INTELLIGENT INFRASTRUCTURE
Parallel
Execution
Self-Healing
Locators
EXECUTE
KOBITON
11
Kobiton Mobile
Testing Platform
Fast, reliable access to real mobile devices for
accurate testing and optimized performance.
Real Device Access
Rapid test execution and insights for improved
collaboration and faster releases.
Accelerated Test Execution
AI-augmented testing from automatic script generation to
scriptless automation for higher efficiency and accuracy.
AI-Powered Efficiency
AUTHOR
Replace brittle assertion code with a single Visual assertion to
cover the entire screen capturing both intended and
unintended changes.
REDUCE TEST CREATION TIME
Mobile tests suffer from flaky test runs and constantly
shifting locators. Applitools uses AI driven visual
locators and stable infrastructure to boost reliability
RUN RESILIENT, STABLE TESTS AT SCALE
Run your mobile tests on a wide range of iOS and Android
devices and screen sizes for visual perfection for every
customer.
IMPROVE TEST COVERAGE
Integrate Visual AI into your favorite open
source testing frameworks

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Find out what testing works for your mobile app. Agile Software Development means we want to maximise progress while minimising waste. Delays cause waste, for instance wasted time and efforts; ineffective work causes waste; poor quality causes waste; and bugs cause waste and delay progress, etc. Mobile apps and the mobile app ecosystem help determine what sorts of testing will be more valuable for the project. This workshop introduces various key concepts and factors related to testing mobile apps effectively. You will have the opportunity to practice testing mobile apps during the workshop to help reinforce your learning and discovery. We will cover both interactive and automated testing of mobile apps, and find ways to reduce the Time To Useful Feedback (TTUF) so the project team can make more progress while reducing project waste. We will also cover various ways to gather more and better information about the qualities of our mobile codebase and of the quality of the apps-in-use. Bring your mobile apps and mobile devices and be prepared to get involved in testing! More details: http://confengine.com/agile-pune-2014/proposal/861/agile-mobile-testing Conference: http://pune.agileindia.org/

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AUTHOR
Generate Appium scripts from any manual session that is
infused with Visual AI for increased quality and coverage.
APPIUM SCRIPT GENERATION
Perform a manual test on one device and execute that same
test across your other real devices automatically.
NO-CODE TEST AUTOMATION
Integrate Visual AI into your favorite open source testing
frameworks
FRAMEWORK SDKs
Reduce the time it takes to build automated
tests
Use Visual AI to validate hundreds of elements across
different platforms instantly with a single line of code
AUTOMATED VALIDATION
Use Visual AI to easily test dynamic, content-heavy
Native applications without having to rewrite and
maintain tests.
DYNAMIC ASSERTIONS
VALIDATE
Increase test coverage with AI assertions
Validate web, mobile or desktop apps, PDF documents,
design images, UI components and more.
ANY UI TECHNOLOGY
Validate front-end performance response times at every
test step, to ensure the best experience for your app
users.
PERFORMANCE VALIDATIONS
Reduce risks to accessibility for Content labeling and
Color Contrast.
BUILT-IN ACCESSIBILITY VALIDATIONS
VALIDATE
Performance and Accessibility validation
to boost user retention.
EXECUTE
Fast efficient, Mobile Test Execution
Boost your testing speed by supporting manual testing
and automated testing in a single unified platform.
ONE UNIFIED PLATFORM
Experience Appium execution at 2x to 3x by harnessing
the power of Kobiton’s AI and ML capabilities, ensuring
rapid release cycles.
TURBO CHARGE APPIUM
Automatically heal tests with broken locators enabling
uninterrupted test execution.
SELF-HEALING TESTS

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The document discusses a case study of automating mobile application testing for a client. The client needed to test applications across different mobile operating systems and devices frequently. Manual testing caused long regression cycles. The Ness team implemented an automated testing solution using Appium, Selenium, and AWS Device Farm. This reduced regression cycle time by 40% and testing costs by 30%, while increasing test coverage. The solution reused test scripts across platforms and devices and integrated with continuous integration tools.

software testingmobilesoftware development
ANALYZE
Get deep insights into every test run
Get comprehensive reports and insights for all your test
runs and easily search and filter test results
INSIGHTFUL REPORTS
Quickly surface what code changes caused each UI
change or issue.
PINPOINT WHAT WENT WRONG
Automatically group together similar changes and
issues to help accelerate test maintenance and analysis
AUTOMATED MAINTENANCE
ANALYZE
Effortlessly Analyze Test Results with
Session Explorer
RAPID ROOT CAUSE ANALYSIS
Captures a comprehensive set of metrics
encompassing video, screenshots, logs, system
metrics, network payload, and more
Analyze request/response payloads and response
times to meet end-user performance standards.
NETWORK PAYLOAD CAPTURE
Access detailed system metrics (CPU, Memory,
Network, Battery Drain) for each test session.
SYSTEM METRICS
Each UI change requires manual
review and highly skilled developers
to fix the test
The Applitools + Kobiton way
The old way
We’ve revolutionized the entire
testing cycle with AI
TEST AUTHORING
TEST VALIDATION
TEST EXECUTION
TEST ANALYSIS
Assertions are written for a few
elements in the UI -> frequent false
positives & failures
Rerun tests multiple times against
devices with flaky locators. Device
grid is slow, unstable and vulnerable
GENERATIVE, SELF-HEALING TESTS
AI generates automated tests from a manual
session. AI prevents tests from breaking
SMART UI VALIDATION
Full-screen AI-powered assertions validate entire
UX & functionality in 1 step
FAST / EFFICIENT UNIFIED MOBILE PLATFORM
Turbo charged Appium execution with full page
functional / visual coverage.
AUTOMATED MAINTENANCE
Maintenance is a one-click process using AI to
help group together similar changes
19
Element based locators help anchor
test interaction. Test code depends
on application code
Design Development QA Operations Content
Shifting quality left and right
CATCH BUGS
EARLIER
CATCH BUGS
PROACTIVELY

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Integration Demo
Manual to Automation with Visual AI
21
22
Integration Summary
Execute Manual
Session and Export
Automated Script
● Launch Android
device.
● Install the App.
● Execute manual
steps.
● Close device.
● Export Appium
automation
script.
Integrate
Applitools
SDK
● Add eyes-appium
sdk to downloaded
project
dependencies.
● Add eyes.open to
before test hook.
● Add eyes.close to
after test hook.
Add Visual
Checkpoints
● Add eyes.check
to validate a
single screen.
● Repeat for each
screen in the
flow.
Run Test
Again to
Compare
● Execute test a 2nd
time to perform
comparison
against the
baseline.
● Accept or Reject
changes.
● Create defects
with out of the box
integration with
Jira.
Run Test to
Establish
Baseline
● Execute the test on
the desired device
to establish
baseline.
● Review Baseline to
ensure it is correct.
● Apply Match
Levels to handle
different.
requirements like
Dynamic data.
23
Leverage Applitools and Kobiton to
add Visual AI to your Pipeline
● Eyes tests automatically map to Git
branches and names.
● All Eyes tests associated to a CI Build
are automatically grouped together.
● The GitHub Pull Request includes Eyes
test results and merge status.
● GitHub status is automatically updated
to reflect current status without having
to re-execute the pipeline.
Q&A
24

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Leveraging AI for Mobile App Testing on Real Devices | Applitools + Kobiton

  • 1. Leveraging AI for Mobile App Testing on Real Devices 1
  • 2. 2 Agenda Challenges in Native Mobile Software Delivery Applitools Intelligent Testing Platform Integration Demo: Manual to Automation with Visual AI Q&A
  • 3. Challenges in Native Mobile Software Delivery 3
  • 4. 4 With an exponential growth in complexity and scale, software teams need a new way to test Volume Surging amount of interfaces, states, and scenarios to verify Complexity UIs are more complex and dynamic than ever before Velocity Escalating frequency of new features and code deploys Resources Limited team budgets = “do more with less” With an exponential growth in complexity and scale, software teams need a new way to test
  • 5. 5 Poor Test Coverage Both manual testing and traditional test automation suffer from validating a finite amount of explicit scenarios in a finite amount of time. Slow Release Cycles Rapidly changing UIs in today’s multi-screen environment require a large number of end-to-end tests that need to be constantly rewritten. Expensive QA Costs To keep up with modern development, organizations require an ever-growing number of expensive headcount dedicating time to testing software. Traditional testing can’t keep up Traditional testing scales linearly with more resources 2000 2005 2010 2015 2020 2025 Release Frequency x Application Complexity x Device Proliferation Increasing complexity of software quality Traditional test automation cannot meet the demands of the business
  • 6. 6 Accelerate Mobile Delivery ● Mobile QA takes 3-10X longer than web testing ● 1 Hour CT for Mobile More Productivity Less Cost ● Path to Mobile Test Automation is Hard ● AI-Driven Automation Improves Productivity for Devs, Testers and Automation Engineers Maximize Revenue with Better Mobile CX ● Quality is a blocker for mobile adoption and revenue ● Visual + Accessibility Validations What is Your Team’s Mobile Maturity? 90% of orgs have low to mid maturity Customer Experience depends on your mobile delivery practices
  • 7. 7 Mobile Test Cases Automated Today vs. Desired Level of Automation Desire to Automate Developers and testers directly involved with mobile testing 100+ employees Late Q4 2023 Kobiton Primary Research: >75% 50-75% 10-24% <10% 0% 25-49% % Of test cases automated today % You would like automated 0 10 20 30 40 Respondents 50
  • 8. 8 Today’s Native Mobile testing toolchain is disparate and siloed AUTHOR EXECUTE ANALYZE Disparate Dashboards
  • 10. 10 PREFLIGHT EYES SDKs INTEGRATE GIT CI/CD Functional Testing Visual Testing Accessibility Testing Codeless Testing Data Generation OPS DESIGN AUTHOR VALIDATE ANALYZE AUTONOMOUS Web Crawler NLP Based Testing VISUAL AI Automated Maintenance Root Cause Analysis Dashboards & Reporting Insights & Optimizations The Applitools Intelligent Testing Platform + Kobiton Full support for automated and manual testing on real devices INTELLIGENT INFRASTRUCTURE Parallel Execution Self-Healing Locators EXECUTE KOBITON
  • 11. 11 Kobiton Mobile Testing Platform Fast, reliable access to real mobile devices for accurate testing and optimized performance. Real Device Access Rapid test execution and insights for improved collaboration and faster releases. Accelerated Test Execution AI-augmented testing from automatic script generation to scriptless automation for higher efficiency and accuracy. AI-Powered Efficiency
  • 12. AUTHOR Replace brittle assertion code with a single Visual assertion to cover the entire screen capturing both intended and unintended changes. REDUCE TEST CREATION TIME Mobile tests suffer from flaky test runs and constantly shifting locators. Applitools uses AI driven visual locators and stable infrastructure to boost reliability RUN RESILIENT, STABLE TESTS AT SCALE Run your mobile tests on a wide range of iOS and Android devices and screen sizes for visual perfection for every customer. IMPROVE TEST COVERAGE Integrate Visual AI into your favorite open source testing frameworks
  • 13. AUTHOR Generate Appium scripts from any manual session that is infused with Visual AI for increased quality and coverage. APPIUM SCRIPT GENERATION Perform a manual test on one device and execute that same test across your other real devices automatically. NO-CODE TEST AUTOMATION Integrate Visual AI into your favorite open source testing frameworks FRAMEWORK SDKs Reduce the time it takes to build automated tests
  • 14. Use Visual AI to validate hundreds of elements across different platforms instantly with a single line of code AUTOMATED VALIDATION Use Visual AI to easily test dynamic, content-heavy Native applications without having to rewrite and maintain tests. DYNAMIC ASSERTIONS VALIDATE Increase test coverage with AI assertions Validate web, mobile or desktop apps, PDF documents, design images, UI components and more. ANY UI TECHNOLOGY
  • 15. Validate front-end performance response times at every test step, to ensure the best experience for your app users. PERFORMANCE VALIDATIONS Reduce risks to accessibility for Content labeling and Color Contrast. BUILT-IN ACCESSIBILITY VALIDATIONS VALIDATE Performance and Accessibility validation to boost user retention.
  • 16. EXECUTE Fast efficient, Mobile Test Execution Boost your testing speed by supporting manual testing and automated testing in a single unified platform. ONE UNIFIED PLATFORM Experience Appium execution at 2x to 3x by harnessing the power of Kobiton’s AI and ML capabilities, ensuring rapid release cycles. TURBO CHARGE APPIUM Automatically heal tests with broken locators enabling uninterrupted test execution. SELF-HEALING TESTS
  • 17. ANALYZE Get deep insights into every test run Get comprehensive reports and insights for all your test runs and easily search and filter test results INSIGHTFUL REPORTS Quickly surface what code changes caused each UI change or issue. PINPOINT WHAT WENT WRONG Automatically group together similar changes and issues to help accelerate test maintenance and analysis AUTOMATED MAINTENANCE
  • 18. ANALYZE Effortlessly Analyze Test Results with Session Explorer RAPID ROOT CAUSE ANALYSIS Captures a comprehensive set of metrics encompassing video, screenshots, logs, system metrics, network payload, and more Analyze request/response payloads and response times to meet end-user performance standards. NETWORK PAYLOAD CAPTURE Access detailed system metrics (CPU, Memory, Network, Battery Drain) for each test session. SYSTEM METRICS
  • 19. Each UI change requires manual review and highly skilled developers to fix the test The Applitools + Kobiton way The old way We’ve revolutionized the entire testing cycle with AI TEST AUTHORING TEST VALIDATION TEST EXECUTION TEST ANALYSIS Assertions are written for a few elements in the UI -> frequent false positives & failures Rerun tests multiple times against devices with flaky locators. Device grid is slow, unstable and vulnerable GENERATIVE, SELF-HEALING TESTS AI generates automated tests from a manual session. AI prevents tests from breaking SMART UI VALIDATION Full-screen AI-powered assertions validate entire UX & functionality in 1 step FAST / EFFICIENT UNIFIED MOBILE PLATFORM Turbo charged Appium execution with full page functional / visual coverage. AUTOMATED MAINTENANCE Maintenance is a one-click process using AI to help group together similar changes 19 Element based locators help anchor test interaction. Test code depends on application code
  • 20. Design Development QA Operations Content Shifting quality left and right CATCH BUGS EARLIER CATCH BUGS PROACTIVELY
  • 21. Integration Demo Manual to Automation with Visual AI 21
  • 22. 22 Integration Summary Execute Manual Session and Export Automated Script ● Launch Android device. ● Install the App. ● Execute manual steps. ● Close device. ● Export Appium automation script. Integrate Applitools SDK ● Add eyes-appium sdk to downloaded project dependencies. ● Add eyes.open to before test hook. ● Add eyes.close to after test hook. Add Visual Checkpoints ● Add eyes.check to validate a single screen. ● Repeat for each screen in the flow. Run Test Again to Compare ● Execute test a 2nd time to perform comparison against the baseline. ● Accept or Reject changes. ● Create defects with out of the box integration with Jira. Run Test to Establish Baseline ● Execute the test on the desired device to establish baseline. ● Review Baseline to ensure it is correct. ● Apply Match Levels to handle different. requirements like Dynamic data.
  • 23. 23 Leverage Applitools and Kobiton to add Visual AI to your Pipeline ● Eyes tests automatically map to Git branches and names. ● All Eyes tests associated to a CI Build are automatically grouped together. ● The GitHub Pull Request includes Eyes test results and merge status. ● GitHub status is automatically updated to reflect current status without having to re-execute the pipeline.