Defects (MTTD)

Defects (MTTD)

Finding the Defect Tuning Factor When the Plan is Inconsistent with Project Actuals

 

My current plan is extremely inconsistent with my actual data. For instance, the project started a year late and has already slipped by almost 15 months.  Using my original plan, the actual defect data yields a defect tuning factor of 2000% when I run the Defect Tuning Calculator function. 

Is the plan being factored into the defect tuning calculations? If so, can significant variation between the plan and the actuals result in an incorrect tuning factor?

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SLIM-Control Defects (MTTD) How To

No Actual Defect Data Points on Defects Remaining Reports/Graphs

 

My actual defect data points don't show up on the defect remaining and defect remaining/sloc reports and graphs.   Why not?

Before we can calculate and display the number of errors remaining, we must know the forecasted number of errors in the system.  Planned defects remaining is the difference between planned total defects and planned defects found at various points in time. Actual defects remaining are calculated by subtracting actual defects found from the forecasted total defects.

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SLIM-Control Charts & Reports Defects (MTTD)

MTTD Value Increases When Runtime Environment Duration is Increased

 

I changed my runtime environment from 5 days to 7 days. I would have expected my MTTD value to get smaller because I am running the system longer. Why did my MTTD value get larger?

The MTTD value is simply the reciprocal of the monthly defect rate. Suppose the expected defect rate is 100 defects found during the last month of phase 3. This is a theoretical monthly rate number based on an average runtime environment. The MTTD for this month is therefore 1 month/100 errors or .01 months between defects

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SLIM-Estimate SLIM-Control Defects (MTTD)

Poor Curve Fit to Actual Defect Data

 

I sometimes get poor defect curve fits when running a forecast.  What can I do to improve this?

Getting a good curve fit is important - the poorer the fit, the less confidence you will have in the projected new time for that set of data. The goodness of fit is particularly important during the latter stages of Phase 3 because defect data is weighted more heavily at that time. There are two things you can do to improve your defect curve fits:

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SLIM-Control Defects (MTTD) How To

MTTD Data Points Start at Different Times

 

My actual MTTD data points start at different times depending on whether there is a forecast being displayed. Why?

MTTD is not truly relevant until the entire system is integrated and functioning as a complete entity.  For this reason, MTTD values are not shown until Systems Integration Test (which occurs at about 71% of phase 3).   

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Defects (MTTD)