论文标题
绩效分析的扩展摘要和模型转换的预测
Extended Abstract of Performance Analysis and Prediction of Model Transformation
论文作者
论文摘要
在软件开发过程中，越来越多地同化模型转换。但是，通过模型转换开发的系统有时会增长并变得复杂。同时，模型转换的性能往往会降低。因此，性能是模型转换的重要质量。根据当前的研究模型转换性能的重点是内部优化引擎。但是，没有研究活动来支持转型工程师，以确定转型规则中的绩效瓶颈，从而预测整体绩效。在本文中，我们将目的是提供监视和分析的方法，以确定转换规则中绩效问题的根本原因并预测模型转换的性能。这将使软件工程师能够系统地识别性能问题，并预测模型转换的性能。
In the software development process, model transformation is increasingly assimilated. However, systems being developed with model transformation sometimes grow in size and become complex. Meanwhile, the performance of model transformation tends to decrease. Hence, performance is an important quality of model transformation. According to current research model transformation performance focuses on optimising the engines internally. However, there exists no research activities to support transformation engineer to identify performance bottleneck in the transformation rules and hence, to predict the overall performance. In this paper we vision our aim at providing an approach of monitoring and profiling to identify the root cause of performance issues in the transformation rules and to predict the performance of model transformation. This will enable software engineers to systematically identify performance issues as well as predict the performance of model transformation.
