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| 一种用于软件过程建模的适应性Agent 协商 | |
| 引用本文： | 黎巎,李明树,王青,赵琛,杜栓柱.一种用于软件过程建模的适应性Agent 协商[J].软件学报,2009,20(3):557-566. |
| 作者姓名： | 黎巎 李明树 王青 赵琛 杜栓柱 |
| 作者单位： | 1. 中国科学院,软件研究所,互联网软件技术实验室,北京,100190;中国科学院,研究生院,北京,100049 2. 中国科学院,软件研究所,互联网软件技术实验室,北京,100190;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 3. 中国科学院,软件研究所,互联网软件技术实验室,北京,100190 |
| 基金项目： | Supported by the National Natural Science Foundation of China under Grant Nos.60573082, 60673121, 90718042 (国家自然科学基金); the National High-Tech Research and Development Plan of China under Grant Nos.2006AA01Z185, 2006AA01Z19B,2007AA010303 ( 国家高技术研究发展计划(863)); the National Key Technologies R&D Program of China under GrantNo.2005BA113A01 (国家科技攻关计划); the National Basic Research Program of China under Grant No.2007CB310802 (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. |
| 关 键 词： | 协商模型 适应性 Q学习 软件过程建模 |
| 收稿时间： | 1/7/2008 12:00:00 AM |
| 修稿时间： | 2008/2/27 0:00:00 |
Adaptive Agent Negotiation for Software Process Modeling |
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| LI Nao,LI Ming-Shu,WANG Qing,ZHAO Chen and DU Shuan-Zhu.Adaptive Agent Negotiation for Software Process Modeling[J].Journal of Software,2009,20(3):557-566. | |
| Authors: | LI Nao LI Ming-Shu WANG Qing ZHAO Chen and DU Shuan-Zhu |
| Affiliation: | Laboratory for Internet Software Technologies;Institute of Software;The Chinese Academy of Sciences;Beijing 100190;China;Graduate University;Beijing 100049;China;State Key Laboratory for Computer Science;China |
| Abstract: | 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 processmodeling, namely AMNM-PA. AMNM-PA uses Agents to represent the entities involved in software processes, suchas organizations, teams, persons, etc. and dynamically and adaptively constructs software process models for givensoftware projects by negotiating among the Agents. AMNM-PA is based on non-stationary finite-horizon Markovdecision processes and uses the model-independent Q learning algorithm to choose negotiation strategies, thussupports the dynamic and adaptable negotiation in changing and unknown environments meeting the requirementfor environmental adaptability of the software process modeling. AMNM-PA has been implemented in the softwareprocess management system SoftPM. |
| Keywords: | Agent |
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