Comparison of COSYSMO Model with Different Software Cost Estimation Techniques

2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2019-09-01 DOI:10.1109/ICICT46931.2019.8977686

Neha Yadav, N. Gupta, Mukul Aggarwal, Aruna Yadav

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引用次数: 2

Abstract

Cost Estimation of any software is process of evaluating the estimating cost and effort which is must necessary to build any software system or project for increasing the output. The basic input is the cost drivers set and the size of code and the output is the effort which is calculated in terms of Person-Months (PM’s). To estimate cost for software is the main portions of any project type and right estimation of cost for the software will help in completing project in of time and budget. Proper cost estimation of a software project is highly needed to avoid any risk failure. So, there is a strong need to calculate the project’s cost annually and compare it to the other techniques. This paper deals with the analysis and comparison of COCOMO model of Boehm’s and COSYSMO model of Valerdi’s through the help of formulae’s and an online tool present at the CSSE website. For this we have used the COCOMO dataset and it has been observed that COSYSMO model works better than the COCOMO model in every aspect.

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COSYSMO模型与不同软件成本估算技术的比较

任何软件的成本估算都是评估估算成本和工作量的过程，这是构建任何软件系统或项目以增加产出所必需的。基本的输入是成本驱动因素和代码的大小，而输出是按人月计算的工作量。软件成本估算是任何项目类型的主要部分，正确的软件成本估算将有助于在时间和预算内完成项目。对软件项目进行适当的成本估算是非常必要的，以避免任何风险失败。因此，有必要每年计算项目的成本，并将其与其他技术进行比较。本文借助公式和CSSE网站上的在线工具，对Boehm的COCOMO模型和Valerdi的COSYSMO模型进行了分析和比较。为此，我们使用了COCOMO数据集，并观察到COSYSMO模型在各个方面都比COCOMO模型更好。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)

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