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
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
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
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!
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
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
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
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
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