Measurement, Modelling and Management Approach to the Software Project Dynamics Optimisation
Autor(en):
Zusammenfassung
In this paper the approach to the software project dynamics research and optimisation is presented. This approach is based on the Measurement, Modelling and Management of the software development process (the MMM approach). We propose to collect the statistics data of such software project parameters as software product size, requirements size, effort, duration, staff number, costs, etc. in order to forecast these parameters for future projects and optimise the whole software development process and its management. The chief practical impact of this research work is the project management system development based on the MMM approach. The research is supported by the IBM Faculty Awards program (2006-2007).
- Vollständige Referenz
- BibTeX
Soloshchuk, V.,
(2007).
Measurement, Modelling and Management Approach to the Software Project Dynamics Optimisation.
In:
Mayr, H. C. & Karagiannis, D.
(Hrsg.),
Information systems technology and its applications – 6th international conference – ISTA 2007.
Bonn:
Gesellschaft für Informatik e. V..
(S. 242-248).
@inproceedings{mci/Soloshchuk2007,
author = {Soloshchuk, Vasyl},
title = {Measurement, Modelling and Management Approach to the Software Project Dynamics Optimisation},
booktitle = {Information systems technology and its applications – 6th international conference – ISTA 2007},
year = {2007},
editor = {Mayr, Heinrich C. AND Karagiannis, Dimitris} ,
pages = { 242-248 },
publisher = {Gesellschaft für Informatik e. V.},
address = {Bonn}
}
author = {Soloshchuk, Vasyl},
title = {Measurement, Modelling and Management Approach to the Software Project Dynamics Optimisation},
booktitle = {Information systems technology and its applications – 6th international conference – ISTA 2007},
year = {2007},
editor = {Mayr, Heinrich C. AND Karagiannis, Dimitris} ,
pages = { 242-248 },
publisher = {Gesellschaft für Informatik e. V.},
address = {Bonn}
}
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Mehr Information
ISBN: 978-3-88579-2017
ISSN: 1617-5468
Datum: 2007
Sprache:
(en)
(en)
Typ: Text/Conference Paper

