Paper Info
Title
Estimating the implementation time for discrete-event simulation model building
Abstract
There are several techniques for estimating cost and time for software development. These are known in software engineering as "software metrics." LOC (lines of code), COCOMO (COnstructive COst Model), and FPA (Function Point Analysis) are examples of such techniques. Although Discrete Event Simulation Modeling (DESM) has some differences from classical software development, it is possible to draw a parallel between these techniques and DESM. This article reviews some of the metrics from software engineering, and, based on those, proposes a metric for estimating time for the implementation of a simulation model using one specific simulation software. The results obtained for 22 real simulation projects showed that the proposed technique can estimate the time for software development with acceptable accuracy (average error of 6% and maximum absolute error of 38%) for models that have less that 200 simulation objects.
Year
DOI
Venue
2010
10.1109/WSC.2010.5678891
Winter Simulation Conference
Keywords
Field
DocType
discrete-event simulation model building,maximum absolute error,software metrics,simulation model,implementation time,software development,average error,real simulation project,classical software development,software engineering,specific simulation software,simulation object,cost estimation,software metric,lines of code,function point analysis,simulation software,productivity,model building,discrete event simulation,lifting equipment,programming
Simulation software,Systems engineering,Simulation,Computer science,Function point,Software,COCOMO,Software metric,Software sizing,Software development,Discrete event simulation
Conference
ISSN
ISBN
Citations 
0891-7736
978-1-4244-9864-2
3
PageRank 
References 
Authors
0.43
4
3
Name
Order
Citations
PageRank
Leonardo Chwif1448.40
Jerry Banks2132.05
Marcos Ribeiro Pereira Barretto3838.35