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PERT (The program evaluation and review technique) for Delphi and Freepascal was updated to version 1.2..

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  PERT (The program evaluation and review technique) for Delphi and Freepascal was updated to version 1.2.. rami18 <coco@coco.com> - 2017-07-04 08:38 -0400
    Re: PERT (The program evaluation and review technique) for Delphi and Freepascal was updated to version 1.2.. rami18 <coco@coco.com> - 2017-07-04 09:18 -0400

#3818 — PERT (The program evaluation and review technique) for Delphi and Freepascal was updated to version 1.2..

Hello.....


PERT (The program evaluation and review technique) for Delphi and 
Freepascal was updated to version 1.2..


I have just taken a look at the following statistical PERT:

https://www.pluralsight.com/blog/it-ops/statistical-pert-estimates

And i think you don't need it, because i have just added the following 
function to my PERT library:

function InvNormalDist(const Mean, StdDev, PVal: Extended; const Less: 
Boolean): Extended;

For InvNormalDist(), you pass the best estimate of completion time to 
Mean, and you pass the critical path standard deviation to StdDev, and 
you will get the probabilities of the value PVal, and when Less is TRUE, 
you will obtain a cumulative probability, so you don't need statistical 
PERT, please look at my test1.pas example inside the zip file that shows 
how to use my PERT library,

Also my PERT library uses a CPM algorithm that uses Topological sorting 
to render CPM a linear-time algorithm for finding the critical path of 
the project, so it's fast.

And i have also included a 32 bit and 64 bit windows executables called 
PERT32.exe and PERT64.exe (that take the file, with a the file format 
that i specified above, as an argument) inside the zip, it is a very 
powerful tool, you need to compile CPM.java with compile.bat before 
running them.

Now my PERT library is more professional.

You can download the new version 1.2 of my PERT library from:

https://sites.google.com/site/aminer68/pert-the-program-evaluation-and-review-technique-for-delphi-and-freepascal


Thank you,
Amine Moulay Ramdane.

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#3819

Hello,

I correct:

function InvNormalDist(const Mean, StdDev, PVal: Extended; const Less: 
Boolean): Extended;

For InvNormalDist(), you pass the best estimate of completion time to 
Mean, and you pass the critical path standard deviation to StdDev, and 
you will get the length of the critical path of the probability PVal, 
and when Less is TRUE, you will obtain a cumulative probability.

You can download the new version 1.21 of my PERT library from:

https://sites.google.com/site/aminer68/pert-the-program-evaluation-and-review-technique-for-delphi-and-freepascal


Thank you,
Amine Moulay Ramdane.

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