ATAGTR2017 Machine Learning telepathy for Shift Right approach of testing
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The presentation on Machine Learning telepathy for Shift Right approach of testing was done during #ATAGTR2017, one of the largest global testing conference. All copyright belongs to the author. Author and presenter : Santhosh GS
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ATAGTR2017 Machine Learning telepathy for Shift Right approach of testing
- 1. #ATAGTR2017 16th 17th March Machine Learning Telepathy for Shift Right Approach - Santhosh GS
- 2. Agile Testing Alliance Global Testing Retreat 2017 Abstract Product Released, what next? Collect Data (SHIFT ) Analyze & Predict (Machine Learning) Future Readiness with Actions
- 3. Agile Testing Alliance Global Testing Retreat 2017 • Why are only some clients reporting it? • Is it a environment issue? • Is this part of frequently used workflow? • How Clients are using new feature How can we Prevent/Answer these types of Questions ? Client reports Case.
- 4. Agile Testing Alliance Global Testing Retreat 2017 Machine learning Computers can learn on its own without writing logic for all the cases based on data classification Shift Right Approach Says Continuous feedback from customer is important even after releasing Quality product
- 5. Agile Testing Alliance Global Testing Retreat 2017 Needed V/s Asked Shift from KYC to LYC Know your Customer (KYC) to fulfil what customer asks But with Machine Learning enables Learn your Customer (LYC) to predict what customer needs
- 6. Agile Testing Alliance Global Testing Retreat 2017 Dynamic Baseline vs Manual Threshold Supervised Machine learning Algorithms system can forecast the performance growth and Predict probable Future performance bottlenecks . Get Ready Before customer ASKs !!
- 7. Agile Testing Alliance Global Testing Retreat 2017 Supervised Learning Select Interested Data Create and Train Model Predict the Performance Insights to Development Plan for Next Release
- 8. Agile Testing Alliance Global Testing Retreat 2017 UX Improvements With ML Unsupervised Machine learning Algorithms system can predict the most common navigation pattern of the users. Results help Agile teams improve the client user User experience on realistic values
- 9. Agile Testing Alliance Global Testing Retreat 2017 Intent Vs Reality Generate usage analytics of new features and predict future usage growth with help of Machine Learning. Take action!!
- 10. Agile Testing Alliance Global Testing Retreat 2017 ML Applications for Beta Feedback Record Feedback Convert to Text (Google Speech API) Analyze the Text (Google Natural Language API) Analyze Verbs, Nouns Generate report With Google Machine Learning API
- 11. Agile Testing Alliance Global Testing Retreat 2017 Popular ML Algorithms Linear Regression Algorithm Polynomial prediction Algorithm Exponential prediction algorithm Decision tree learning
- 12. Agile Testing Alliance Global Testing Retreat 2017 ML Platform
- 13. Agile Testing Alliance Global Testing Retreat 2017 Case Study Following studies are in progress 1. Generate Real time performance predictions from all the clients – Helps to create dynamic baseline and bottlenecks 2. Insights of Client workflow and experience with software – Help us to predict the client use cases
- 14. Agile Testing Alliance Global Testing Retreat 2017 Case Study Contd.. 3. Feature usage analytics and predict - Helps in planning the next releases
- 15. Agile Testing Alliance Global Testing Retreat 2017 Key Takeaways Shift from KYC to LYC Certified and Release software is not Definition of Done. Learn and Generate Future requirements Get Ready for future with Statistical Analysis of ML
- 16. Agile Testing Alliance Global Testing Retreat 2017
Notas del editor
- We have Maintenance team who works on fixing the customer reported issues and part of earnings are spent on maintenance activity including support. How do we reduce the maintenance overhead and increase the client deligment and this is the motivation for writing a paper…
- Testing in early phase is recommended but not enough, Continuous feedback from customer is import and let us see how automatically can generate the feedback
- Generate a User stories for your agile team instead of waiting for customer give surprises
- Generate a User stories for your agile team instead of waiting for customer give surprises . Computers can learn on its own without writing logic for all the cases based on data classification
- Generate a User stories for your agile team instead of waiting for customer give surprises .Shift KYC to LYC Flipkart example of camera and lens.
- Health information of patient stored in hospital today is not same as next 2 years and we need to constatntly monitor their growth The Peadiatrics and orthoeadics are different as Peadatric is less images and orthopeadic is more images so need optimization
- Supervised Learning is all about Classification. Are the defects based on Business rules, test depth or coverage
- Doctors or banking domain employees of company spend more time with customer than software Number of clicks to be reduced. In healthcare industry. Abnormal results click has been reduced
- Either educate a client or change the user expierence or is that valueable to customer
- Dot colors are incorrect