一种用于软件过程建模的适应性Agent协商  

Adaptive Agent Negotiation for Software Process Modeling

作　　者：黎巎[1,2] 李明树[1,3] 王青[1] 赵琛[1] 杜栓柱[1] 

机构地区：[1]中国科学院软件研究所互联网软件技术实验室,北京100190 [2]中国科学院研究生院,北京100049 [3]中国科学院软件研究所计算机科学国家重点实验室,北京100190

出　　处：《软件学报》2009年第3期557-566,共10页Journal of Software

基　　金：国家自然科学基金;国家高技术研究发展计划(863);国家科技攻关计划;国家重点基础研究发展计划(973)~~

摘　　要：大多软件过程模型是预定义的.在变化的应用环境中,需要由相应人员进行适应性调整.提出一种用于软件过程建模的适应性多边协商模型——AMNM-PA,其采用Agent封装软件过程中所涉及的个体,包含组织、团队、个人等,通过Agent间的协商动态、适应地建立针对给定软件项目的软件过程模型.AMNM-PA基于非静态有限阶段Markov决策过程,采用模型无关的Q学习算法选取协商策略,因此能够支持动态、非预知环境下的适应性协商,从而满足软件过程建模对环境的适应性需求.AMNM-PA已经实施于软件过程管理系统——SoftPM.Most Software process models are predefined. When applied in changing environments, they have to be adapted manually. To this end, this paper proposes an adaptive multilateral negotiation model for software process modeling, namely AMNM-PA. AMNM-PA uses Agents to represent the entities involved in software processes, such as organizations, teams, persons, etc. and dynamically and adaptively constructs software process models for given software projects by negotiating among the Agents. AMNM-PA is based on non-stationary finite-horizon Markov decision processes and uses the model-independent Q learning algorithm to choose negotiation strategies, thus supports the dynamic and adaptable negotiation in changing and unknown environments meeting the requirement for environmental adaptability of the software process modeling. AMNM-PA has been implemented in the software process management system SoftPM.

关 键 词：协商模型 适应性 Q学习 软件过程建模 AGENT 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]