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基于核心度排序的软件众包模块分配算法 被引量:2

Module Allocation Algorithm for Software Crowdsourcing Based on Core Degree Sorting
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摘要 为提升众包任务分配效率,提出一种改进的软件众包模块分配算法。根据结构复杂度与技术复杂度获得待开发模块复杂度,采用余弦相似度算法估测模块质量,依据关键路径得出模块重要度,综合模块复杂度、质量及重要度计算模块核心度,通过模块核心度排序实现软件众包模块分配。实验结果表明,与复杂度优先、质量优先、重要度优先的分配算法相比,该算法的适配值至少可提升33.9、27.7及27.8。 To increase the efficiency of crowdsourcing tasks,an improved software crowdsourcing module allocation algorithm is proposed.According to the complexity of the structure and the complexity of the technology,the complexity of the module to be developed is calculated.The cosine similarity algorithm is used to estimate the quality of the module,the importance of the module is calculated according to the critical path,and the module core degree is calculated according to the complexity,quality and importance of the module.The software crowdsourcing module allocation is realized by module core degree sorting.Experimental results show that the fitness value of the algorithm can be improved by at least 33.9,27.7 and 27.8 compared with the CFA,QFA,and KFA allocation algorithms.
作者 王晨旭 余敦辉 张万山 张兴盛 WANG Chenxu;YU Dunhui;ZHANG Wanshan;ZHANG Xingsheng(School of Computer Science and Information Engineering,Hubei University,Wuhan 430062,China;Hubei Province Engineering Technology Research Center for Education Informationization,Wuhan 430062,China)
出处 《计算机工程》 CAS CSCD 北大核心 2019年第7期66-70,共5页 Computer Engineering
基金 国家自然科学基金(61572371) 湖北省技术创新专项(2018ACA13)
关键词 软件众包 模块分配 余弦相似度 模块核心度 适配值 software crowdsourcing module allocation cosine similarity module core degree fitness value
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  • 1杨雪松,胡昊.基于关键链方法的多项目管理[J].工业工程与管理,2005,10(2):48-52. 被引量:63
  • 2徐凤生.一种新的关键路径求解算法[J].计算机应用与软件,2005,22(6):97-99. 被引量:19
  • 3Shardanand U, Maes P. Social information filtering: Algorithms for automating "Word of Mouth". In: Proc. of the Conf. on Human Factors in Computing Systems. New York: ACM Press, 1995.210-217.
  • 4Hill W, Stead L, Rosenstein M, Furnas G. Recommending and evaluating choices in a virtual community of use. In: Proc. of the Conf. on Human Factors in Computing Systems. New York: ACM Press, 1995. 194-201.
  • 5Resnick P, Iakovou N, Sushak M, Bergstrom P, Riedl J. GroupLens: An open architecture for collaborative filtering of netnews. In: Proc. of the Computer Supported Cooperative Work Conf. New York: ACM Press, 1994. 175-186.
  • 6Baeza-Yates R, Ribeiro-Neto B. Modern Information Retrieval. New York: Addison-Wesley Publishing Co., 1999.
  • 7Murthi BPS, Sarkar S. The role of the management sciences in research on personalization. Management Science, 2003,49(10): 1344-1362.
  • 8Smith SM, Swinyard WR. Introduction to marketing models. 1999. http://marketing.byu.edu/htmlpages/courses/693r/modelsbook/ preface.html
  • 9Adomavicius G, Tuzhilin A. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Trans. on Knowledge and Data Engineering, 2005,17(6):734-749.
  • 10Resnick P, Varian HR. Recommender systems. Communications of the ACM, 1997,40(3):56-58.

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