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Process Performance Models in Software Engineering: A Mathematical Solution Approach to Problem Using Industry Data

机译:软件工程中的过程性能模型:使用行业数据的问题的数学解决方法

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An IT Project Manager is responsible for project planning, estimating and scheduling, developing and monitoring the progress throughout its development life cycle. The selection of a particular methodology is heuristic and the performance of the system developed is unpredictable. The authors suggest that a designed process performance model (PPM) can help to predict the required factors of a process to help achieve set goals for the process. This, in turn, can help to control factors that the project and the organizations need to control and ensure expected results. PPMs may enable to work out the relationship between different variables for a well-defined project and this knowledge becomes basis for prediction of performance solution, and helps in implementation of solution. This approach related to designing of PPMs, for various real life projects situations has not been attempted by industry in a big way. The authors demonstrate how to work out the PPMs, based on the given inputs of projects, by an Indian IT company. The solution works out number of bids which arrive at a given time or predict when the next bid will arrive at service centre, based on time series and queuing theory approach. This solution approach is based on different problems that will become the basis to build PPMs for similar problems. The problems discussed here are from an Information Technology Company, with real life data from the projects under development. Testing these models with more projects data thus will formalize how to build PPMs in a similar way. The authors discuss problem areas where time series and queuing theory Models can be applied and benefits of the present approach. The authors have similarly worked on different mathematical models based on industry data and build PPMs based on Bayesian, regression, fuzzy logic and other models. This paper is submitted with only two models just to prove the concept. In future building PPMs is likely to be a necessity in high maturity IT organizations.
机译:IT项目经理负责项目规划,估算和调度,开发和监控其在其开发生命周期的进展。特定方法的选择是启发式的,并且系统的性能是不可预测的。作者表明,设计的过程性能模型(PPM)可以帮助预测流程所需的因素,以帮助实现该过程的设定目标。反过来,这可以帮助控制项目和组织需要控制和确保预期结果的因素。 PPM可以使能够解决一个明确的项目的不同变量之间的关系,并且该知识成为预测性能解决方案的基础,并有助于实施解决方案。这种方法与PPMS的设计有关,对于各种现实生活项目情况尚未以一大的方式尝试。作者展示了如何根据印度IT公司根据给定的项目投入来解决PPMS。该解决方案的工作方式耗尽了到达给定时间或预测的出价的数量,根据时间序列和排队理论方法,下一个出价将到达服务中心。该解决方案方法基于不同的问题,成为构建类似问题的PPM的基础。这里讨论的问题来自信息技术公司,具有来自开发项目的现实生活数据。使用更多项目数据测试这些模型,因此将如何以类似的方式构建PPM。作者讨论了时间序列和排队理论模型的问题领域可以应用和本方法的益处。作者在基于行业数据和基于贝叶斯,回归,模糊逻辑和其他模型的基于行业数据的不同数学模型上类似地研究了不同的数学模型。本文仅提交两款模型只是为了证明这一概念。在未来的建筑物中,PPM可能是高成熟IT组织的必要条件。

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