Software acceptance test plan: Difference between revisions

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#* Testing by small amount data, large amount data
#* Testing by small amount data, large amount data
#* Expected or un-expected result
#* Expected or un-expected result
#* Validate the data flow:  
#* Validate the [https://en.wikipedia.org/wiki/Dataflow Dataflow]:  
#** Format of input data & output data  
#** Format of input data & output data  
#*** Definition of column
#*** Definition of column

Revision as of 12:51, 8 April 2018

使用者驗收測試(User Acceptance Test)

Goal -> functional features & non-functional features -> test plain


checklist:

  1. Build new environment (version & package version were defined) using docker
  2. Deploy and run the codes
  3. Testing
    • Testing by small amount data, large amount data
    • Expected or un-expected result
    • Validate the Dataflow:
      • Format of input data & output data
      • Rows count of data or file size[1]
      • Data dependency: If the input data came from previous step, you should check the format of data generated by previous step before executing the process.
  4. Progressive update
    • Incremental updates: How to apply new data to the current model
    • How to use new data to update the model

References