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基于信息熵免疫优化的制造服务开发策略 被引量:1
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作者 张卫 潘晓弘 +2 位作者 王正肖 田景红 吴鹏程 《浙江大学学报(工学版)》 EI CAS CSCD 北大核心 2011年第11期1908-1912,共5页
针对制造服务平台上制造服务组装的问题,提出基于软构件思想的制造服务开发模型.该模型从平台运营角度将制造服务分解为若干软构件,软构件以外包、联盟、自身3种方式开发.通过制定信息熵免疫算法策略,获得最优分配方案.在开发任务分配... 针对制造服务平台上制造服务组装的问题,提出基于软构件思想的制造服务开发模型.该模型从平台运营角度将制造服务分解为若干软构件,软构件以外包、联盟、自身3种方式开发.通过制定信息熵免疫算法策略,获得最优分配方案.在开发任务分配阶段采用Putnam模型估算软构件规模,为策略实施提供了数据保证,最后分析制造服务开发的任务分配过程.通过计算机辅助设计服务的软构件分配实例表明,信息熵免疫算法具有良好的适应性,取得较遗传算法更好的优化结果. 展开更多
关键词 制造服务 putnam模型 免疫算法 开发方式 软构件
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软件开发成本估算模型的研究 被引量:5
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作者 王红珍 李竹林 《计算机与数字工程》 2012年第3期4-6,23,共4页
软件成本准确地估算和管理控制是软件项目开发成功的基础。该文分析了影响软件开发成本估算准确性的因素,并详细介绍了IBM模型、Putnam模型和COCOMO模型三种经验估算模型,探讨了软件开发成本估算的新需求。
关键词 软件开发 成本估算 IBM模型 putnam模型 COCOMO模型
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软件规模估算方法综述 被引量:1
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作者 王鸣涛 《安阳师范学院学报》 2012年第5期56-60,共5页
准确的软件规模估算决定着项目能否成功开发和实施。不同的估算方法有各自的优点和缺点,因此选择合适的估算方法非常重要。本文综述了目前一些主流的软件规模估算方法,并对这些方法进行了比较分析,以期对准确的估算有所帮助。
关键词 软件规模估算 功能点法 参数化模型法 动态多变量法
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Software Cost Estimation Approaches: A Survey 被引量:1
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作者 Ismail M. Keshta 《Journal of Software Engineering and Applications》 2017年第10期824-842,共19页
The software cost estimation aims to predict the most realistic effort that is required to finish a software project and so it is critical to the success of a software project management. A Software Cost Estimation af... The software cost estimation aims to predict the most realistic effort that is required to finish a software project and so it is critical to the success of a software project management. A Software Cost Estimation affects nearly all management activities, including project bidding, resource allocation and project planning. It is affected by a number of factors, such as implementation efficiency, as well as how much the various reviews and studies completed prior to the software development stage cost. Accurate cost estimation will help us to complete the project on time and within budget. Accurate estimation is important because it has led to extensive research into the methods of software cost estimation. Some important software cost estimation methods have been studied in this research work. In addition, we have set out own criteria, which has been used to compare all the different selected methods. We have also given a score for each evaluation criteria, so that we can compare the different methods numerically for cost estimation. Our observations have shown that it is best to use a number of different estimating techniques or cost models, and then compare the results before determining the reasons for any of the large variations. None of the methods are necessarily better or worse than the others. We found, in fact, that their strengths and weaknesses often complement each other. Therefore, the main conclusion is that there is no one single technique that is best for every situation, and the results of a number of different approaches need to be carefully considered to discover what is the most likely to produce estimates that are realistic. 展开更多
关键词 Software COST Estimation COCOMO model PARAMETRIC models putnam model
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