Need Urgent Help with R language

Discussion in 'Masters Program - Customers only' started by Srividhya Ganesh, May 4, 2017.

  1. Srividhya Ganesh

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    Hello, i need some guidance on how to identify predictive metrics from the test cases of a software app (please see attached input data).

    Objective 1-
    Provide 5 example definitions of predictive metrics to be computed by taking into account the available information.
    Below are the predictive metrics which i have identified -
    1) % Completion of testing (release-level) - for each release identify percentage completion
    2) Number of test steps in a test case (by release)
    3) Failed test cases % (by release) - release which needs more attention for testing
    4) Passed test cases % (by release) - release which went good - reliable to deploy
    5) Test execution rate by release - (how many releases tested in a day)

    Kindly evaluate whether i have rightly identified the predictive metrics.

    Objective 2-
    Also, i need to program an R algorithm which will calculate the above identified metrics - please let me know whether the identified metrics can be derived through R or not.

    Please feel free to reach me on 9987791983 at your earliest possible convenience.
     

    Attached Files:

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  2. Ambika_2

    Ambika_2 Well-Known Member
    Simplilearn Support

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    Hi Srividya,

    We have forwarded your query to our subject matter expert. Kindly allow us 24 to 48 hours to assist you on this.

    Regards,

    Ambika
    GTA-Simplilearn
     
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  3. Ambika_2

    Ambika_2 Well-Known Member
    Simplilearn Support

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