LINE TECHPULSE 2022 - Data-Driven Testing For LINE SHOPPING

Data-Driven Testing For LINE SHOPPING by Winter Hung / LINE SHOPPING @ LINE TECHPULSE 2022 https://techpulse.line.me/

Transcript

1. Winter Hung / LINE SHOPPING Data-Driven Testing For LINE SHOPPING 
2. Agenda › LINE SHOPPING Introduction › How to Use Real Data Integration Testing › What is Data-Driven Testing › Which Benefits are Data-Driven Testing › Conclusion 
3. LINE SHOPPING Introduction 
4. LINE SHOPPING E-Commerce Aggregation Center 
5. LINE SHOPPING Different Types of Costs Transaction fee COST PER SALE CPS  Number of clicks COST PER CLICK CPC Effective activities COST PER ACTION CPA Assist partners COST PER LEAD CPL
6. LINE SHOPPING Real Data of Search 
7. › Personalized recommendation › User has favorites store › Have Business browsing history › Start sending schedule every day Official Account Push 
8. Data-Driven Decision Linear Regression in Machine Learning Let’s predict Initializing the regression model Visualize the training and testing set Importing the dataset 
9. Data-Driven Decision Linear Regression in Machine Learning Test Set The testing set should be 5% to 30% of the dataset Training Set Our training model which will implement the Linear Regression. 
10. For KR How to Use Real Data Integration Testing 
11. LINE SHOPPING Search Features Product Store Content Price Comparison 
12. LINE SHOPPING SEARCH SYSTEM ARCHITECTURE  External Service 3FBM
    %BUB 3FBM
    %BUB 3FBM
    %BUB %BUB
    'FFET Data Operation LINE Commerce Platform MongoDB OBS 1SPEVDU
    
    
    
    $BUFHPSZ LINE SHOPPING SEARCH NAVER 4FBSDI
    
    
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13. LINE Commerce Platform  Application Layer LINE Shopping Front-APP LINE SHOPPING My-APP Domain Layer Product Domain Seller Domain Order Domain LCP
14. LINE SHOPPING SEARCH MOCK SERVER  MOCK SERVER 3FBM
    %BUB 5FTU
    %BUB %BUB
    'FFET Data Operation LINE Commerce Platform MongoDB OBS 1SPEVDU
    
    
    
    $BUFHPSZ LINE SHOPPING SEARCH NAVER 4FBSDI
    
    
    3FDPNNFOEBUJPO 
  
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15. OBS Open Broadcast Services OBS is a media platform for LINE and LINE-family services, The platform comes with object storage by default Image presentation system › Creating a thumbnail › Transcoding videos and audiosArial › Analyzing media using advanced VISION-AI technology (OCR, Adult image filter, object detection) 
16. Mock-Server Easy Mocking Any System Easily recreate all types of responses Start working against a service API Isolate the system-under-test to ensure tests 
17. What is Data-Driven Testing DDT 
18. Data-Driven Testing SYSTEM ARCHITECTURE MYSQL 704
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    3FTVMU GORM Compare Order Count
19. GORM Golang Object Relational Mapping Distributed applications of the GORM ORM in computer science is a programming technique for converting data between incompatible type systems in OOP languages. This creates, in effect, a “virtual object database” that can be used from within the programming language.LINE SHOPPING needs to verify data and consistent tests in MySQL 
20. OVERVIEW GIN + GORM + MYSQL  MYSQL $MJFOU (*/ (03. $MJFOU $MJFOU RESTFUL WEB SERVICE
21. GIN Golang Web Framework › Excellent performance › Native net/http package › Fast httprouter › Well-designed middleware › Excellent data binding 
22. OVERVIEW Code Folder Structure (03. .PEFMT $PO fi H $POUSPMMFST )FMQFST 3PVUFST Schema.go Model.go Database.go Controller.go Response.go Routers.go
23. GORM PROMETHEUS SYSTEM ARCHITECTURE  (03.
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24. VOS Verda Object Storage VOS (Verda Object Storage) is an object storage service with comes with an S3 compatible Object Storage API. The S3 API is a de facto standard object storage API for AWS S3, which means we can utilize open-source software based on S3 API for VOS without changing our source code. We can use the S3 SDK to manage VOS objects. 
25. DDS Data Driven Script  ASSERTION MYSQL GORM REPORT Function TEST DATA
26. Benefits Which Benefits are Data-Driven Testing 
27. TIME Data verify of spend time more than 4x faster  MYSQL GORM & Jenkins SERVER MYSQL WORK BENCH SERVER 1 min 15 sec
28. 1 2 3 4 5 6 7 8 9 10 11 0 350 700 1050 1400 Partner A Partner B Partner C Partner D Partner E Partner F Orders Count CPS REPORT  Month FAIL ORDERS COUNT
29. Coverage Health Check of Search AVG New Stores 102 AVG GMV Rate 15% AVG Fail Rate 0.16 
30. 0 75000 150000 225000 300000 5 6 7 8 9 10 Partner A Partner B Partner C Partner D Partner E Partner F Order Counts TOP6  Month
31. 3% 20% 23% 5% 29% 20% Partner A Partner B Partner C Partner D Partner E Partner F 8% 9% 11% 12% 14% 46% Partner A Partner B Partner C Partner D Partner E Partner F 80 / 20 DDT Observe  80% 20%
32. Conclusion › It is an ideal option to use realistic information › It allows multiple sets of data values during Health Check › Data-driven is a test automation methodology  › 80/20 is very suitable for quality control
33. Thank you