Slides from workshop conducted at ThoughtWorks, Pune in vodQA, on Sat, 27th August, 2016. Workshop Facilitators - Anand Bagmar, Smriti Tuteja, Pallipuspa Samal, Rohit Singhal, S Ramalingam, Shilpa G More information about vodQA, and this workshop can be found from the following links - https://essenceoftesting.blogspot.com/2016/08/vodqa-pune-less-talk-only-action-agenda.html https://essenceoftesting.blogspot.com/search/label/vodQA https://essenceoftesting.blogspot.com/search/label/waat

1. AUTOMATING WEB
ANALYTICS – WHY?
HOW?
Anand B, Pallipuspa S, Smriti T
Ramalingam S, Shilpa G, Rohit S

2. ABOUT US
¨ Anand Bagmar
¨ Pallipuspa Samal
¨ S Ramalingam
¨ Rohit Singhal
¨ Shilpa Gopal
¨ Smriti Tuteja

3. What do you expect
from this session?

4. Why do we do
Testing?

6. HOW DO WE VALIDATE?

7. Web Analytics

8. WHAT IS WEB ANALYTICS?

10. WHY DO WE NEED WEB ANALYTICS?

11. WEB ANALYTICS SOLUTIONS
Google Analytics
SiteCatalyst
AWStats
WebTrends
….

12. Testing Web Analytics

16. LEARN & OPTIMIZE

17. TESTING AT THE REPORT LEVEL
Pros
¨ Ensure report is setup correctly
Cons
¨ May not capture “true data”
¨ Licensing
¨ Reports not yet setup
¨ Validate all requests are sent / captured

18. Biggest Problem
It is TOO LATE!

19. The Solution

24. Web Analytics Testing
Challenges

25. MANUAL

26. REPEATING OVER-AND-OVER AGAIN

28. WAAT - Web Analytics
Automation Testing

29. WHAT DOES WAAT DO FOR ME?
q Plugs into existing test framework
q With minimal changes
q Web Analytic tool independent
q UI Driver framework independent
q Browser independent

30. FLAVORS

31. WAAT-JAVA
q Original flavor
q Supports 2 plugins
q Omniture Debugger
q Proxy
q HttpSniffer
q JsSniffer
q Available on github
Will be eventually available as a Maven Dependency!

32. WAAT-RUBY
q Ruby gem implemented over WAAT-Java
q Uses RJB – Ruby-Java-Bridge
q Supports 2 plugins
q HttpSniffer
q JsSniffer
q Available on github and rubygems.org
Will be changing soon!

33. OMNITURE DEBUGGER

34. OMNITURE DEBUGGER
Pros
q OS independent
q Run using the regular test-user
Cons
q Browser dependent – need to implement ScriptRunner
for the UI-driver in use
q Web-Analytic solution dependent – Adobe Marketing
Cloud / Omniture SiteCatalyst

35. HTTPSNIFFER
Pros
q Web-analytic solution independent
q Browser independent
q UI-driver independent
Cons
q 3
rd
party libraries are OS Dependent
q HTTPs not supported out-of-the-box
q Run tests as ‘root’

36. JSSNIFFER
Pros
q Web-analytic solution independent
q Browser independent
q HTTPs supported out-of-the-box
q No dependency on any 3
rd
party library
Cons
q Need to write JavaScript to get the URL from the browser
q UI-driver dependent

37. @BagmarAnand #waat how can I contribute?

38. PROXY DEBUGGER
Pros
q Web-analytic solution independent
q Browser independent
q UI-driver dependent
q HTTPs supported out-of-the-box
q No dependency on any 3
rd
party library
Cons
q May not work easily for Mobile

39. ARCHITECTURE

41. WHAT’S NEXT WITH WAAT?
q WAAT-Net
q WAAT-Ruby
q WAAT-JS
q WAAT-Py

42. HOW CAN YOU HELP?
q Raise Issues (https://github.com/anandbagmar/WAAT/issues)
q Help contribute (send Pull Requests)

43. Is that all to
Web Analytics?

44. The new “kids” in town
IoT & Big Data

45. Some popular use cases

46. IOT – INTERNET OF THINGS
Opportunity to
¨ Create new value propositions
¨ Be Innovative
¨ Be Creative

47. IOT – HOW TO DELIVER VALUE?
¨ Automate the manual processes
¨ Integrate data capabilities
¨ Collect – integrate from various sources
¨ Repeat collection – automate the collection
¨ Analyze – manual & machine learning
¨ Optimize / Pivot
¨ Repeat

48. IOT – CHALLENGES
¨ Federated devices
¨ Different types of networks
¨ Different communication channels
¨ Physical (hardware) & Virtual (software)

49. IOT – BIGGER CHALLENGES
¨ Too many devices
¨ Lots of data

50. BIG DATA …. IS GETTING BIGGER
¨ Volumes of data generated
¨ A jet engine generates 1TB of data per flight.
¨ A large refinery generates 1TB of raw data per day.
¨ As cars get smarter, the number of sensors is projected to reach as many as 200
per car.
¨ Sensors of all types will generate immense amounts of data. In fact, analysts
estimate that by 2020, 40 percent of all data will come from sensors.
¨ IoT leads to massive volumes of data
http://www.cisco.com/web/solutions/trends/iot/docs/iot-data-analytics-white-paper

51. IoT is about Data!

52. TO GET VALUE FROM IOT …
¨ Collect
¨ Analyze
¨ Predict
¨ Plan

53. What does this mean
for Testing?

54. TESTING OPPORTUNITIES
We need to build capabilities to validate –
¨ Data collection is working well
¨ From all sources
¨ Analyzing data, capturing patterns and trends
¨ Optimize business value
¨ Create new opportunities and value propositions

55. RESOURCES
¨ https://github.com/anandbagmar/waat
¨ https://github.com/anandbagmar/waat-ruby
¨ http://essenceoftesting.blogspot.com/search/label/
waat
¨ http://www.cisco.com/web/solutions/trends/iot/docs/
iot-data-analytics-white-paper
¨ http://www.dezyre.com/article/how-big-data-analysis-
helped-increase-walmart-s-sales-turnover/109

56. TEST PROJECTS
¨ https://github.com/anandbagmar/waat-sample-java
¨ https://github.com/ShilpaGopal/WAATForMobile
¨ https://github.com/pallipuspa/WaatWithASP

57. THANK YOU
¨ Anand Bagmar
¨ Pallipuspa Samal
¨ S Ramalingam
¨ Rohit Singhal
¨ Shilpa Gopal
¨ Smriti Tuteja