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.