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ESTIMATING THE IMPLEMENTATION TIME FOR DISCRETE-EVENT SIMULATION MODEL BUILDING

机译:估计离散事件模拟模型构建的实施时间

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摘要

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.
机译:有几种估算软件开发成本和时间的技术。这些在软件工程中称为“软件指标”。 LOC(代码行),COCOMO(结构成本模型)和FPA(功能点分析)就是此类技术的示例。尽管离散事件仿真模型(DESM)与经典软件开发有所不同,但可以在这些技术与DESM之间进行比较。本文回顾了软件工程中的一些指标,并在此基础上提出了一种指标,用于估算使用一个特定的仿真软件来实施仿真模型的时间。对22个真实仿真项目的结果表明,对于少于200个仿真对象的模型,所提出的技术可以以可接受的精度(平均误差为6%,最大绝对误差为38%)估算软件开发时间。

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