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Re-defining test design anatomy, coverage and velocity paradigm using Model based Testing
Abhay Kumar Mishra – Sr. Test Analyst
Manish Singhal – Test Manager
Mohit Saini – Test Analyst
Sopra Steria
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2. Abstract Current software programmes have key traits as
Complex Business requirements
Shortened Release cycles
Faster Testing Turnaround time
Reduce human error
This can be achieved by using Model based testing ( MBT ). Model based testing encompasses creating of business flows in the MBT Tools like Agile Requirements Designer, converting the business flows into test scenarios with options of full coverage or selective coverage and deriving test data out of these test scenarios in conjunction of test data management tools like CA Test Data Maker
This white paper will guide on:
Key Business challenges on traditional test design
How MBT Tools are used to derive Test design / Test Data
Benefits derivation from MBT

3. Why Model based Testing
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4. Where Model based Testing stands
Software testing world is now drifting towards Test Design Automation
Improving both speed and quality of application delivery
Automate the entire process of generating Test cases and test data generation
Reducing considerably manual efforts & hence saving time and cost

5. What do we understand by Model based Testing
Automatic generation of software test scenarios/cases.
A technique in which the test cases are derived from a model that describes the functional facets of the SUT
Model represents the system behavior from a testing perspective
Reduces manual testing effort and enables organizations to deliver quality software earlier and at less cost

6. Testing Lifecycle Gaps
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7. Model based Testing – Illustration – Online Movie Ticket Booking

8. Data Generation - Illustration

9. TDM Opportunities
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10. Glossary References & Appendix
Glossary
TDM – Test Data Management
ARD – Agile Requirement Designer
MBT – Model Based Testing

11. Author Biography
Abhay Kumar Mishra : An industry expert with more than 6 years of experience in Software Testing (Database & ETL), Test Data Management & Master Data Management. Testing expertise in all aspects of SDLC & STLC. Business Domains familiar with are Retail, Banking and Financial Consultancy. Graduated from St. Xavier's College, Ranchi. Abhay enjoys each and every moment of life. He's positive thinker & passionate about learning. Music and books are what keep him busy even when he's free. A rookie in playing Piano. His friends also describe him a good influencer.
Mohit Saini: With over 5.5 years of experience in IT industry, worked as part of the Quality Assurance teams across various Projects where clients affiliated to Finance Domain such as Debt Management, Share market etc. Proficient in SQL queries, Functional, Database/ETL with zeal to be more technical oriented. Recently acquired command on CA Grid tools such as Agile Requirements Designer as part of the data team. Always supportive for the team and have good soft skills.
Hobbies: Basketball and Painting.
Manish Singhal : Manish Singhal has total IT experience of over 20 years with Test Management, Software quality assurance & control, Black Box Testing, Client interaction, managing SDLC and software development process with leading software consulting companies and clients. Manish is currently handling Big data project for a leading financial institution in UK.
Manish is specialist in Formulating Testing Process & Methodologies with comprehensive hands on experience in designing Test proposals, Creation of estimates, Test strategy formulations, Test management and Test execution with strong people management capabilities.
Manish has Extensive experience in managing large cross-functional, geographically dispersed IT Testing and Quality Assurance projects on time and within budget. Manish also is proficient in setting up Quality procedures & processes of Software Development Life Cycle Management along with responsibility for driving and sustaining CMMi Level 5 assessment for Testing Service line. Experience in preparing teams for CMMi Assessments by performing data baselining, creating process performance models, goal settings etc.

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Thank You!!!
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