CONTENTS
CONTENTS
CONTENTS
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DURATION ESTIMATION OF A WORK PACKAGE 217<br />
the relation (2) needs a correction, which will adjust D with a coefficient resulted<br />
from the P id of each project team member. The P id can be calculated as a report<br />
between the estimated (Ecest) and the actual effort (Ecreal) a team member spent on<br />
the c component:<br />
(3) P idi = ECreal<br />
ECest<br />
Depending on how the original estimations were performed, based on the organization<br />
historical data using T P E technique, or based on a single person experience, the P id<br />
will reflect the person’s relative productivity compared to the organization’s average<br />
or compared to that person productivity. If we introduce relation (3) in relation (2),<br />
the result will be an adjusted D (Dadj):<br />
(4) Dadj = EW P<br />
=<br />
P idi<br />
EW P<br />
P ·<br />
−1 P idi<br />
=<br />
P<br />
EW P<br />
P · prod<br />
i<br />
where prod is the team’s productivity coefficient. The value of prod can be influenced<br />
by the correctness of the E estimations and the learning curve of the personal. For<br />
more accurate prod calculations, the P idi needs to be calculated based on historical<br />
data, or predicted, taking into the trend of its professional evolution. In some situations,<br />
like new team members, new project type where no historical data can be<br />
used, the estimation will be erroneous. For this situation Dadj should be adjusted<br />
periodically during the project, by predicting the prod of the team based on their<br />
evaluation till that moment in the project.<br />
Figure 1. Comparing D estimations<br />
Figure 1 shows the different results of the estimations: D1 was estimated with<br />
relation (2), D2 with the adjusted relation (4) and since the real progress is slower<br />
then expected, after the prod readjustments the D4 is obtained, which is more realistic<br />
then the previous ones.<br />
4. Conclusion<br />
Estimation of WP duration is a difficult and key problem in software engineering.<br />
There are several estimation models, but most of them are adjusted for medium and<br />
i