Predicting the software performance during feasibility study

Devaraj E.; Kumar S.; Kavi T.; Kanth K.R.

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Predicting the software performance during feasibility study

机译：在可行性研究期间预测软件性能

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Performance is an important non-functional attribute to be considered for producing quality software. Software performance engineering (SPE) is a methodology having significant role in software engineering to assess the performance of software systems early in the lifecycle. Gathering performance data is an essential aspect of SPE approach. The authors have proposed a methodology to gather data during feasibility study by exploiting the use case point approach, gearing factor and COCOMO model. The proposed methodology is used to estimate the performance data required for performance assessment in the integrated performance prediction process (IP3) model. The gathered data is used as the input for solving the two models, (i) use case performance model and (ii) system model. The methodology is illustrated with a case study of airline reservation application. A regression analysis is carried out to validate the response time obtained in the use case performance model. The analysis shows the proposed estimation can be used along with performance walkthrough in data gathering. The performance metrics are obtained by solving the system model, and the behaviour of the hardware resources is observed. Bottleneck resources are identified and the performance parameters are optimised using sensitivity analysis.

机译：性能是生产优质软件时要考虑的重要非功能属性。软件性能工程（SPE）是一种在软件工程中起着重要作用的方法，可以在生命周期的早期评估软件系统的性能。收集性能数据是SPE方法的重要方面。作者提出了一种通过利用用例点方法，齿轮系数和COCOMO模型在可行性研究期间收集数据的方法。所提出的方法用于估计集成性能预测过程（IP3）模型中的性能评估所需的性能数据。收集的数据用作解决两个模型的输入，（i）用例性能模型和（ii）系统模型。通过机票预订应用案例研究说明了该方法。进行回归分析以验证用例性能模型中获得的响应时间。分析表明，所提出的估计可以与数据收集中的性能演练一起使用。通过解决系统模型获得性能指标，并观察硬件资源的行为。使用敏感性分析来识别瓶颈资源并优化性能参数。

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《Software, IET》 |2011年第2期|p.201-215|共15页
作者
Devaraj E.; Kumar S.; Kavi T.; Kanth K.R.;
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M S Ramaiah Institute of Technology, M S R Nagar, Bangalore - 54, India;

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Predicting the software performance during feasibility study

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