Measuring Effectiveness of COCOMO I and COCOMO II Using a Case Study

There are several software estimation models such as Line of Code, Function Point and COnstructive COst MOdel （COCOMO）. The original COCOMO model is one of the most widely practiced and popular among the software development community because of its flexible usage. It is a suite of models i.e., COnstructive Cost MOdel I and COnstructive Cost MOdel II. in this paper, we are evaluating the both models, to find out the level of efficiency they present and how they can be tailored to the needs of modem software development projects. We are applying COCOMO models on a case study of an e-commerce application that is built using Hyper Text Markup Language （HTML） and JavaScript. We will also shed light on the different components of each model, and how their Cost Drivers effect on the accuracy of cost estimations for software development projects.

基于COCOMO Ⅱ模型的软件项目成本估算

本文介绍了COCOMO II结构化成本估算模型的分类和估算,模型中有7个早期设计驱动因子和17个后架构模型驱动因子。本文指出模型的优化方向并表明需要根据现有情况优化模型驱动因子调整计算模型,使成本的估计更加准确,更能贴切公司预算。

基于贝叶斯校正算法的软件估算模型COCOMOⅡ的研究

软件成本估算模型COCOMOⅡ为软件开发中的成本估算奠定了基础。为了进一步提高COCOMOⅡ的估算精度,采用多元回归的分析方法——贝叶斯校正算法对其进行校正,在逻辑一致的基础上根据先验信息和样本信息作出推论,得到的后验结果提高了估算精度。实验结果表明,经过贝叶斯校正算法的COCOMOⅡ模型进一步提高了数据的精确度。

A Hybrid Model for Improving Software Cost Estimation in Global Software Development

Accurate software cost estimation in Global Software Development(GSD)remains challenging due to reliance on historical data and expert judgments.Traditional models,such as the Constructive Cost Model(COCOMO II),rely heavily on historical and accurate data.In addition,expert judgment is required to set many input parameters,which can introduce subjectivity and variability in the estimation process.Consequently,there is a need to improve the current GSD models to mitigate reliance on historical data,subjectivity in expert judgment,inadequate consideration of GSD-based cost drivers and limited integration of modern technologies with cost overruns.This study introduces a novel hybrid model that synergizes the COCOMO II with Artificial Neural Networks(ANN)to address these challenges.The proposed hybrid model integrates additional GSD-based cost drivers identified through a systematic literature review and further vetted by industry experts.This article compares the effectiveness of the proposedmodelwith state-of-the-artmachine learning-basedmodels for software cost estimation.Evaluating the NASA 93 dataset by adopting twenty-six GSD-based cost drivers reveals that our hybrid model achieves superior accuracy,outperforming existing state-of-the-artmodels.The findings indicate the potential of combining COCOMO II,ANN,and additional GSD-based cost drivers to transform cost estimation in GSD.

软件成本估算技术及应用

对当前流行的软件成本估算技术进行分析和比较.针对某机场货用监控系统,利用比较成熟的软件成本估算模型COCOMOⅡ,对其软件设计成本进行成本估算,得到令人满意的结果,但需要开发人员在应用经验、开发伸缩性和对代码行的估计等方面进行改进.最后,对COCOMO II成本估算模型提出改进建议.

基于模糊逻辑的软件项目风险评估方法

风险评估是软件项目风险管理的重要内容。利用成本估算模型中已有的专家知识和启发信息进行风险评估的Risk Method方法是一种较优的风险分析方法,但是实际项目中存在的模糊性信息对分析数据的准确性影响较大,导致评估结果的可信度降低。将模糊逻辑应用于Risk Method方法中,使用COCOMO II模型的成本驱动作为每个风险事件的对应驱动,将评估的输入量使用三角模糊数的方法模糊化成模糊输入量,将评估结果使用重心方法去模糊化成输出量,从而提出了基于模糊逻辑的软件项目风险评估方法,并通过实例说明了方法在实际项目中应用的可行性。

软件项目开发工作量估算研究

准确的工作量估算是保证软件开发正常进行的必要手段。文中采用功能点估算法,通过对软件结构分解和工作结构的分解,利用COCOMO II 2000模型估算初始功能点数、估算调整后的功能点数,最后将功能点转化为源代码行,为软件开发企业提供了进行软件项目开发工作量估算的基本方法。工作量估算是软件开发企业完成成本估算的前提。

An Efficient Approach for Agile Web Based Project Estimation: AgileMOW

There exist numerous sophisticated models and methods for estimating the size, cost and schedule of software projects. However, the ability to accurately predict the software cost of web based software for agile software projects is still dubious. The most appropriate web based software cost estimation in an agile software development environment is a big problem due to varying levels of customer requirement and different individual personnel capabilities. Also, the need to develop a separate model to estimate web based project is rising. In this research paper, we present AgileMOW, an approach to model a software cost estimation process which will evaluate effort and cost of software development for web based projects developed using Agile methodology with a number of constraints imposed by stakeholders and environmental characteristics, thereby satisfying multitudinous criteria by making use of COCOMO II model, a famous traditional algorithmic technique. Most importantly, the paper identifies the difference between conventional and web projects. The proposed estimation model enhances the level of visibility in the planning stages.