面向开源开放开发的软件生态系统演化机制与健康性研究

针对云计算时代网络化、服务化与体系化软件生产的迫切需求，以新兴的软件生态系统为研究取向，在实证数据分析和挖掘的基础上，采用复杂网络的方法，研究面向开源开放开发的软件生态系统的演化机制与健康性问题。重点研究内容包括：构建新型的“社会-技术”型网络模型，结合信息流、知识流与价值流的规律认知，分析基于该模型的时空动力学行为，克服由于“人因”产生的不确定性及其对软件生态系统的扰动。提供软件生态系统健康性的度量方法与评价指标体系。同时，建设大规模群体开发知识库，支持软件生态系统中开发知识与演化知识的共享。研究成果有助于优化群体软件开发过程，有助于提高开源开放软件开发的效率与质量水平，为在开源开放开发的社区化环境中构建健康的软件生态系统提供理论依据和方法支持，为提升我国软件产业的生产力水平做出基础性贡献。

In the cloud computing era, the most urgent need for software production is how to cope with the changes that software is more networked，more systematic and more service-oriented. This proposal focuses on emerging software ecosystem based on empirical data analysis and data mining. Complex network theory provides a new insight and enabling technology for this study that seeks solutions on evolution mechanism and ecological health of software ecosystems oriented to open source development and open platform development..The major research contents are as follows. A socio-technical network model will be constructed. Then, in order to overcome uncertainty created by “human factors” and resist its disturbance to software ecosystems, the spatiotemporal dynamics behavior will be studied on this model, while recognizing running laws of information flow, knowledge flow and value flow in software ecosystems. For the software ecosystems oriented to open source development and open platform development, an ecological health measurement will be proposed and an ecological health evaluation index system will be established. In addition, a large-scale collaborative development repository will be established so as to support the sharing of development knowledge and evolution knowledge in software ecosystems..The results will serve to optimize the development process, and improve the efficiency and artifact quality for open source development and open platform development. Our proposed approach will provide theory basis and method support for construction of healthy community-type software ecosystem oriented to open source development and open platform development; and will make a fundamental contribution to improve the productivity of software industry