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An experimental investigation of time delays in software project staffing

Authors: Bosley, Michael John.;

An experimental investigation of time delays in software project staffing

Abstract

Failing software development projects are plaguing the Department of Defense and other Federal service agencies today. Compounding this fact, the complexity of today's software projects makes it extremely difficult to isolate the underlying problem areas. The System Dynamic Model (SDM), a quantitative tool that simulates software development life cycles, enables us to investigate these problem areas as well as many other pertinent areas. It allows the isolation and manipulation of management variables allowing analysis which in turn leads to a better understanding of the effects variables have on projects. This thereby presents an opportunity to suggest solutions. This thesis uses this System Dynamic Model's gaming interface to investigate the effects of time delays on software project management. Specifically, this experiment focuses on how software project managers compensate for assimilation and hiring delays inherent to a single project environment. The effect of these delays are measured in terms of staffing level decisions, final cost, and project completion

Approved for public release; distribution is unlimited.

http://archive.org/details/anexperimentalin1094528199

Lieutenant, United States Coast Guard

Keywords

Information Technology Management

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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