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首页> 外文期刊>International Journal of Sensors, Wireless Communication and Control >PPM based Bayesian Solution in SW Engineering Based on Real Industry Data
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PPM based Bayesian Solution in SW Engineering Based on Real Industry Data

机译:基于PPM基于真实行业数据的SW工程贝叶斯解决方案

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Background and Objective: The success of IT project managers lies in their ability to plan, execute and implement their project in a time bound manner and within optimum cost. The efficient development of a project also requires a defined process of selection of appropriate development methodology, which is absent as on today with unpredictable results. Methods: It is proposed by the authors that to achieve predictable success for a project as per the set goals, the concept of process performance models can be very useful. The authors who have worked with many mathematical models suggest that these models can be basis for the development of process performance models for forecasting project success as per goals defined. The process performance models implementation helps to monitor the project parameters as well as improvement of Software processes. This methodology of project development based on process performance models is yet to be adopted in IT industry in a disciplined way. Results and Discussion: These models help to define relation between project variables and enable prediction of the performance of the proposed solution. The Success of a given project based on Bayesian solution for a given network problem which enables the managers to build process performance model for similar problems. The problem discussed in this paper has real life non numeric data from a project of an Indian IT company. Also, the authors have demonstrated how to assess process capability with non-numeric data input. Different mathematical models proposed by the authors to address a solution for a problem at hand have been tested with real industry data for models like Regression, Time series, Queuing Theory, Fuzzy logic etc. This paper discusses only one model just to prove the concept. Conclusion: The authors suggest that PPMs may be developed in an IT organization for different emerging areas and a library of models can be built and used for future applications. The authors opine that in future in High Maturity Organizations building Process performance models (PPM) may become a essential part of process of project development.
机译:背景和目标:IT项目经理的成功在于他们计划,执行和实施其项目以时间绑定的方式和最佳成本。项目的有效开发还需要定义的选择适当的开发方法,这与今天的结果不存在,这是不可预测的结果。方法:由作者提出,根据设定的目标实现可预测成功的项目,过程性能模型的概念可能非常有用。与许多数学模型合作的作者认为,根据定义的目标,这些模型可以是开发过程性能模型的基础,用于预测项目成功。流程性能模型实现有助于监控项目参数以及软件进程的改进。这种基于流程性能模型的项目开发方法尚未以纪律方式在IT行业中采用。结果与讨论:这些模型有助于定义项目变量之间的关系,并实现提出解决方案的性能的预测。基于贝叶斯解决方案的给定网络问题的给定项目的成功使管理者能够构建类似问题的过程性能模型。本文讨论的问题具有来自印度IT公司项目的现实生活非数字数据。此外,作者已经演示了如何评估使用非数字数据输入的过程能力。作者提出的不同数学模型来解决手头的问题解决方案已经使用了回归,时间序列,排队理论,模糊逻辑等的实际行业数据进行了测试。本文仅讨论了一个模型只是为了证明这一概念。结论:作者表明,可以在IT组织中开发PPMS的不同新兴区域,可以建立和用于将来应用程序的模型库。作者呼吸在未来在高成熟组织中建立流程性能模型(PPM)可能成为项目开发过程的重要组成部分。

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