<p class="MsoNormal" align="left"> <b>课题拟解决的问题：<span></span></b> </p> <p class="MsoNormal" align="left"> 1.基于跨社区开源项目与讨论帖子的关联，建立开源项目与社会化标签的关联网络。<span></span> </p> <p class="MsoNormal" align="left"> 2.基于开源项目与社会化标签相关度以及社区关注度的开源软件排序。<span></span> </p> <p class="MsoNormal" align="left"> 3.构建开源软件排序工具，分析和验证排序优化方法。<span></span> </p> <p class="MsoNormal" align="left"> <br /> </p> <p class="MsoNormal" align="left"> <b>课题预期目标和成果：<span></span></b> </p> <p class="MsoNormal" align="left"> 提出一种基于社区关注度的开源软件排序优化方法，能够自动分析和动态构建开源社区项目与标签的关联网络，定义和设计一种社区关注度度量方法和机制，并在此基础上构建一个相应的开源软件检索与排序优化系统。<span></span> </p> <p class="MsoNormal" align="left"> <b>课题成果将主要完成的工作任务<span>:</span></b> </p> <p class="MsoNormal" align="left"> 1.阅读<span>Trustie</span>团队现有算法和代码；<span></span> </p> <p class="MsoNormal" align="left"> 2.完成开源项目与标签的关联网络动态构建；<span></span> </p> <p class="MsoNormal" align="left"> 3.完成社区关注度度量算法；<span></span> </p> <p class="MsoNormal" align="left"> 4.完成基于社区关注度的开源软件排序优化系统。<span></span> </p> <p class="MsoNormal" align="left"> <b>本课题的成果形式：</b> </p> <p class="MsoNormal" align="left"> 1.完成该课题人员的毕业论文；<span></span> </p> <p class="MsoNormal" align="left"> 2.开源软件检索与排序优化系统与演示平台；<span></span> </p> 3.毕业设计成果经过完善形成一篇英文<span>EI</span>论文。 <p> <br /> </p> <p class="MsoNormal" align="left"> <strong>参考文献：</strong> </p> <p class="MsoNormal" align="left"> <br /> </p> <p class="References" style="margin-left:17.85pt;text-indent:-17.85pt;"> <span>[1] </span>Yin G, Wang T, Wang H, et al. OSSEAN: Mining Crowd Wisdom in Open Source Communities[C]//Service-Oriented System Engineering (SOSE), 2015 IEEE Symposium on. IEEE, 2015: 367-371. </p> <p class="References" style="margin-left:17.85pt;text-indent:-17.85pt;"> <span>[2] </span>Bhat V, Gokhale A, Jadhav R, et al. Min (e) d your tags: Analysis of question response time in stackoverflow[C]//Advances in Social Networks Analysis and Mining (ASONAM), 2014 IEEE/ACM International Conference on. IEEE, 2014: 328-335. </p> <p class="References" style="margin-left:17.85pt;text-indent:-17.85pt;"> <span>[3] </span>Fan Q, Wang H, Yin G, et al. Ranking open source software based on crowd wisdom[C]//Software Engineering and Service Science (ICSESS), 2015 6th IEEE International Conference on. IEEE, 2015: 966-972. </p> <p class="References" style="margin-left:17.85pt;text-indent:-17.85pt;"> <span>[4] </span>Zhixing Li, Tao Wang, Yang Zhang, Yun Zhan, and Gang Yin. Query reformulation by leveraging crowd wisdom for scenario-based software search [C]. In Proceedings of the 8th Asia-Pacific Symposium on Internetware (Internetware '16). </p> <a name="OLE_LINK9"></a><a name="OLE_LINK8"></a><a name="_Ref445410348"></a>Bissyandé T F, Thung F, LO D, et al. Orion: A Software Project Search Engine with Integrated Diverse Software Artifacts.(2013). Research Collection School Of Information Systems[J]. 1816. <p> <br /> </p>
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