Rapid Development: Taming Wild Software Schedules
Rapid Development: Taming Wild Software Schedules
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The grand majority of software development projects are known to be late and over the budget. Several surveys performed during the last 15 years expose a relatively poor performance in delivering successful software projects. Most of the projects hit schedule and budget overruns of 25% to 100% and sometimes even more. Even though m-applications development is a new software development field, still this type of projects is not secured against the common flaws of software development projects. Therefore, the main goal of this paper is to reduce the gap between the estimated duration of the m-application development project and the actual elapsed time. We find that legacy and proven best practices project management techniques can be successfully employed for schedule risk management. Furthermore, we present three proven software project management techniques that were successfully adapted to the development of m-applications. The first one is the estimation of m-application project duration using top-down and bottom-up approaches. The second one is the use of a set of performance metrics for project quality assessment. And the last one is the Extended Metrix model, a stochastic project duration estimation model with schedule risk analysis elements.