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3 CONCLUSIONS AND FUTURE
WORK
In this paper, we have presented a project status
model in the context of a wider research activity
concerning the development of a monitoring model
designed for large scale software projects. The
proposed model is specified formally and its main
features refer to: finding the actual status of a
project, providing recommendations to the workers,
and automated-generating alarms regarding the
actual status of the project. A distinct characteristic
of the proposed project status model and an
innovation factor is that this model takes into
consideration two perspectives over the monitored
project: the macro-universe of the project and the
micro-universe of the worker.
As next steps, we plan to develop a work
behavior prediction model to forecast worker
decisions regarding work and work estimation (EL
and ES values, respectively) for different moments
in the future based on history. Using the predicted
ES and EL values, the project status model presented
in this paper is able to compute the future probable
project status at the respective moments in the
future. The synergic combination of the project
status model with the work behavior prediction
model represents the large scale software project
monitoring model. Furthermore, we propose to
develop a software prototype that incorporates the
monitoring model. To validate the model, the
software prototype will be used during the
development of real-world software projects.
ACKNOWLEDGEMENTS
This work was supported by QuarterMill
Technologies. This work was partially supported by
the strategic grant POSDRU 6/1.5/S/13, (2008) of
the Ministry of Labor, Family and Social Protection,
Romania, co-financed by the European Social Fund
– Investing in People.
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