Modelica建模软件形成的高指标微分代数方程系统指标约简算法研究

随着产品设计的复杂化，应用领域中的数学建模和仿真越来越重要，传统建模方法基于赋值语句，主要考虑单一系统，工程人员需要对程序设计语言和算法求解有相当程度的熟悉，这导致了传统建模方法很难满足复杂产品设计的需要。欧洲仿真界的学者在总结现有建模方法的基础上于1997年推出了一种面向对象的、陈述式的基于方程的语言——Modelica，Modelica语言支持多领域建模，Modelica语言得到了仿真领域众多厂商的支持，成为统一建模领域的事实标准，实现Modelica仿真环境具有重大意义。 编译器是Modelica仿真环境中的核心组件，Modelica编译器会产生高指标DAE系统，除了部分特殊结构的高指标DAE，现有求解器一般不能对通用高指标DAE直接求解，现在一般做法是先对高指标DAE进行指标约简，将其转换成等价的低指标DAE，然后进行求解。这就要求Modelica编译器具有指标约简的功能，以便利用现有求解器进行求解。 本文介绍了几种现有的指标约简算法，给出了各个算法指标约简原理和约简步骤，并对这些算法进行了分析和比较，得出各自的优缺点。最后，本文设计并实现了一个指标约简系统，采用三个Modelica模型产生的方程对系统进行了测试，并验证了实验结果的正确性。

basic research in computer science and software engineering at sklcs

The State Key Laboratory of Computer Science (SKLCS) is committed to basic research in computer science and software engineering. The research topics of the laboratory include: concurrency theory, theory and algorithms for real-time systems, formal specifications based on context-free grammars, semantics of programming languages, model checking, automated reasoning, logic programming, software testing, software process improvement, middleware technology, parallel algorithms and parallel software, computer graphics and human-computer interaction. This paper describes these topics in some detail and summarizes some results obtained in recent years.

a flexible negotiation model for an agent-based software process modelling

Our Agent-based Software Process Modelling (ASPM) approach describes a software process as a set of cooperative agents. Negotiation is the way in which the agents construct their cooperative relations, and thus the software process. Currently, most negotiation models use a fixed negotiation protocol and fixed strategies. In order to achieve the flexibility that the negotiation of the agents in ASPM requires, we propose a negotiation model NM-PA. NM-PA mainly includes a generic negotiation protocol and some rules, which possibly change in different negotiation processes. By changing the rules, the model can support multi-protocols and multi-decision-making strategies at a lower cost.

An Integrated Solution for Software Process Improvement

Since 1990s, the software industry in China has been developed very rapidly and the total revenue in recent three years of 2005, 2006 and 2007 were 390.0, 480.0, and 583.4 billions RMB respectively, increased by 28.3% annually on an average basis [1]. By the end of 2007, there were about 18,000 software enterprises in China, and the population of software professionals was 1.48 millions roughly. In the global software market, China, with annual revenue about 82.2 billions USD (8.74% of the total: 940 billions USD), currently ranks on the fourth after USA, EU and Japan. However, the software industry in China is still comparatively weak. Most software enterprises have only tens of employees and millions RBM of revenue. And the software development productivity in China varies highly across the software industry in terms of organization, development type, business area, region, language, project size and team size [2]. Co-operative efforts from the government, the industry and the academy are needed [3]. Continuous software process improvement is an effective way to change the challenging situation of the software industry in China.