基于场景元模型的软件产品线追踪方法

针对软件产品线需求追踪方法进行了研究,基于软件产品线领域需求分析、设计、实现三个阶段的信息传播,提出了一种基于场景元模型的多层次软件产品线追踪模型,完整描述了追踪信息变化的整体框架;建立了需求—用例追踪矩阵、用例—动作追踪矩阵、动作—构件追踪矩阵;根据矩阵运算,描述了具体追踪实现过程,通过一个ATM案例验证了该方法对于软件产品线领域需求获取以及需求变更等问题的解决有较好的效果。     

Scheduling a dynamic job shop production system with sequence-dependent setups: An experimental study

This paper presents the salient aspects of a simulation-based experimental study of scheduling rules for scheduling a dynamic job shop in which the setup times are sequence dependent. A discrete event simulation model of the job shop system is developed for the purpose of experimentation. Seven scheduling rules from the literature are incorporated in the simulation model. Five new setup-oriented scheduling rules are proposed and implemented. Simulation experiments have been conducted under various experimental conditions characterized by factors such as shop load, setup time ratios and due date tightness. The results indicate that setup-oriented rules provide better performance than ordinary rules. The difference in performance between these two groups of rules increases with increase in shop load and setup time ratio. One of the proposed rules performs better for mean flow time and mean tardiness measures.     

Detailed design of a lattice composite fuselage structure by a mixed optimization method

In this article, a procedure for designing a lattice fuselage barrel is developed. It comprises three stages: first, topology optimization of an aircraft fuselage barrel is performed with respect to weight and structural performance to obtain the conceptual design. The interpretation of the optimal result is given to demonstrate the development of this new lattice airframe concept for the fuselage barrel. Subsequently, parametric optimization of the lattice aircraft fuselage barrel is carried out using genetic algorithms on metamodels generated with genetic programming from a 101-point optimal Latin hypercube design of experiments. The optimal design is achieved in terms of weight savings subject to stability, global stiffness and strain requirements, and then verified by the fine mesh finite element simulation of the lattice fuselage barrel. Finally, a practical design of the composite skin complying with the aircraft industry lay-up rules is presented. It is concluded that the mixed optimization method, combining topology optimization with the global metamodel-based approach, allows the problem to be solved with sufficient accuracy and provides the designers with a wealth of information on the structural behaviour of the novel anisogrid composite fuselage design.     

MDA建模的AOP扩展策略及其比较

对于MDA横切于核心业务逻辑的关注点对封装的破坏的问题,本文给出把AOP引入到MDA的扩展策略和主要方法,并对不同的扩展策略进行了比较。     

SPEM2XPDL模型转换研究*

将软件过程技术与工作流技术相结合,严格定义了SPEM2XPDL模型转换规则,设计并实现了一个SPEM2XPDL模型转换引擎.此引擎将SPEM描述的软件过程转换为符合工作流定义(XPDL)的工作流过程,从而可基于工作流管理系统对软件过程提供执行支持.SPEM模型经引擎转换后在工作流管理系统Shark上的成功执行表明了引擎的可用性.     

基于领域元模型的PLM-ERP数据集成研究

分析了现有PLM-ERP数据集成方法,提出了一种基于领域元模型的集成PLM-ERP数据的方法.通过领域元模型描述PLM-ERP系统间的元数据映射信息和集成业务规则.领域元模型经过解析和验证后,执行异构数据转换,可以实现PLM-ERP系统交换和共享数据.领域元模型集成方法具有可重用性,减少PLM-ERP数据集成开发工作量,低耦合性、通用性的特点.     

DM_OLAP元数据管理

元数据在数据仓库和联机分析处理中扮演着重要的角色。该文介绍了自主研制的DM_OLAP系统的元数据模型,包括其设计和CWM标准化.同时,提出了基于CWM模型的DM_OLAP元数据管理系统的设计。     

A comparative study of the scalability of alternative metamodelling techniques

Metamodels, also known as surrogate models, can be used in place of computationally expensive simulation models to increase computational efficiency for the purposes of design optimization or design space exploration. The accuracy of these metamodels varies with the scale and complexity of the underlying model. In this article, three metamodelling methods are evaluated with respect to their capabilities for modelling high-dimensional, nonlinear, multimodal functions. Methods analyzed include kriging, radial basis functions, and support vector regression. Each metamodelling technique is used to model a set of single output functions with dimensionality ranging from fifteen to fifty independent variables and modality ranging from one to ten local maxima. The number of points used to train the models is increased until a predetermined error threshold is met. Results show that kriging metamodels perform most consistently across a variety of functions, although radial basis functions and support vector regression are very competitive for highly multimodal functions and functions with large local gradients, respectively. Support vector regression metamodels consistently offer the shortest build and prediction times when applied to large scale multimodal problems.     

仓储库的发展

文章从仓储库的发展背景、仓储库管理的信息内容、采用的技术三方面对仓储库的发展历程进行了回顾。并且根据这三方面将仓储库的发展分为三阶段： 集中在数据管理阶段、 集中在应用系统开发阶段、 集中在企业所有信息阶段。