Software project management: a unified framework
Software project management: a unified framework
The Rational Unified Process: an introduction
The Rational Unified Process: an introduction
Software Engineering Economics
Software Engineering Economics
Software Cost Estimation with Cocomo II with Cdrom
Software Cost Estimation with Cocomo II with Cdrom
The future of software processes
SPW'05 Proceedings of the 2005 international conference on Unifying the Software Process Spectrum
Systematic Task Allocation Evaluation in Distributed Software Development
OTM '09 Proceedings of the Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems: ADI, CAMS, EI2N, ISDE, IWSSA, MONET, OnToContent, ODIS, ORM, OTM Academy, SWWS, SEMELS, Beyond SAWSDL, and COMBEK 2009
Data accumulation and software effort prediction
Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement
| Hi-index | 0.00 |
Geographically distributed development processes are becoming ever more pervasive on modern software projects. Software is developed collaboratively in multiple locations around the world, and projects are being contracted out in whole or part for economic leverage. Projects are often split among distributed teams, where the teams contribute different portions of work per phase to take advantage of their skill sets and rates. Thus there is a need for new parametric cost estimation models where effort multipliers are phase-sensitive. Working with industrial partners, a unique model has been developed to better estimate globally distributed projects where work is allocated by phase, rather than along the lines of specific functionality. The distributed development model allows for work distribution by phase per team (and per module), different environmental characteristics of the teams, localized labor categories, calendars, compensation rates and currencies for costing. It also provides a generalized scheme for user-defined global lifecycle processes that include calibrated effort and schedule distributions. A representative example project shows primary inputs and some fine-grained outputs available with the model.