This is a presentation delivered by Denis Markovtsev, of Inflectra, as part of Inflectra's webinar 5-part certificate series called: Planet Test Automation: First Steps. Note: This webinar is part of Level 2 Test Automation Certificate course. To learn more about the webinar series, visit: http://ow.ly/Knak50wOdFZ

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WEBINAR: Planet Test Automation: First Steps
Part 5: Data-Driven Testing
• December 18th, 2019 – Denis Markovtsev, @dmarkovtsev
We will be starting the webinar shortly, please stand by…
All phones will be automatically on mute until the Q&A.

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Hey, I am Denis
• Working on Rapise test
automation tool @Inflectra
• 20 years in software
development
• 10 years in test automation
• Twitter: @dmarkovtsev
• Email: denis@Inflectra.com

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Webinar Series: Useful Information
• Housekeeping Matters
• Post Webinar Follow-Up:
• Blog
• Webinar Recording
• Presentation On Slideshare
• Post-Webinar Quiz
• Webinar Series: Planet Test
Automation: First Steps
• Webinar Series Certificate Rules &
FAQs

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Data-Driven Testing

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Formal Diagram of Data-Driven Testing
Data
Source
Test
Expected
Output
Actual
Output
Input
Data
Compare
Test Result

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Advantages of Data-Driven Testing
 Reveals power of test automation
 Running same test cases with different input data. Scalability!
 Separates data from test logic
 Easier to manage data
 Enables work breakdown
 Automation engineer creates tests
 Manual testers and domain experts prepare data

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Complexity of Data-Driven Testing
 You may need to know:
 How to parameterize a test
 How to work with files, spreadsheets and databases within a test
 How to code
 Such techniques as
 equivalence class testing,
 boundary values testing,
 pairwise testing.

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Agenda
Data Sources
Data Origin
Data Output & Comparison
Data Usage Scenarios
Data Selection

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Data Sources
Text File CSV File XML File JSON File
Excel File Database RVL Map Generators

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Data Origin
Fixed
Random
Unique
Sequences
Encrypted

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Data Output & Comparison
Text File CSV File
XML File JSON File
Excel File
Bitmap
File
 Built-In Comparison
 Colorful bitmaps
 BW bitmaps
 Spreadsheets
 Excel
 CSV
 User-Defined Comparison
 Text file
 JSON file
 XML file

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Data Usage Scenarios
Data seeding
Testing with valid data
Testing with invalid data

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Data Selection
Equivalence class testing
Boundary value testing
Pairwise testing

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Equivalence Class Testing
Bar operation rules:
 1 – 50 beers – take the order
 51+ beers – refuse the order
 any other input is invalid
Take one value from each class:
 10, 100, qwerty

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Boundary Value Testing
Bar operation rules:
 1 – 50 beers – take the order
 51+ beers – refuse the order
 any other input is invalid
Take boundary values + some edge cases:
 1, 50, 51, 1000000, 0, -1

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Pairwise Testing
 Most of bugs are caused by combination of at most two
factors
 A set of all-pairs combinations is signifiactly smaller than a
set of all combinations
 Learn mode on http://www.pairwise.org/

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Demo

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AUT: OpenMRS
 Online
https://demo.openmrs.org
 Standalone
https://openmrs.org/download/

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Sample Framework: OpenMRS_DDT
 https://github.com/Inflectra/rapise-framework-
examples/tree/master/OpenMRS_DDT

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Q&A
Thank You!