[1] ZHANG J, WANG X Y, HAO D, et al. A survey on bug-report analysis[J]. Science China Information Sciences, 2015, 58(2):1-24. [2] STRATE J D, LAPLANTE P A. A literature review of research in software defect reporting[J]. IEEE Transactions on Reliability, 2013, 62(2):444-454. [3] SHOKRIPOUR R, ANVIK J, KASIRUN Z M, et al. A time-based approach to automatic bug report assignment[J]. Journal of Systems & Software, 2015, 102:109-122. [4] SHOKRIPOUR R, ANVIK J, KASIRUN Z M, et al. Improving automatic bug assignment using time-metadata in term-weighting[J]. IET Software, 2014, 8(6):269-278. [5] ALENEZI M, MAGEL K, BANITAAN S. Efficient bug triaging using text mining[J]. Journal of Software, 2013, 8(9):2185-2190. [6] SHOKRIPOUR R, ANVIK J, KASIRUN Z M, et al. Why so complicated? Simple term filtering and weighting for location-based bug report assignment recommendation[C]//Proceedings of the 10th International Workshop on Mining Software Repositories. Piscataway, NJ:IEEE, 2013:2-11. [7] 黄小亮, 郁抒思, 关佶红. 基于LDA主题模型的软件缺陷分派方法[J]. 计算机工程, 2011, 37(21):46-48.(HUANG X L, YU S S, GUAN J H. Software bug triage method based on LDA topic model[J]. Computer Engineering, 2011, 37(21):46-48). [8] JEONG G, KIM S, ZIMMERMANN T. Improving bug triage with bug tossing graphs[C]//Proceedings of the 7th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering. New York:ACM, 2009:111-120. [9] MATTER D, KUHN A, NIERSTRASZ O. Assigning bug reports using a vocabulary-based expertise model of developers[C]//Proceedings of the 6th IEEE International Working Conference on Mining Software Repositories. Piscataway, NJ:IEEE, 2009:131-140. [10] SHOKRIPOUR R, KASIRUN Z M, ZAMANI S, et al. Automatic bug assignment using information extraction methods[C]//Proceedings of the 2012 International Conference on Computer Science Applications and Technologies. Piscataway, NJ:IEEE, 2012:144-149. [11] 李文进, 熊小峰, 毛伊敏. 基于改进朴素贝叶斯的区间不确定性数据分类方法[J]. 计算机应用, 2014, 34(11):3268-3272.(LI W J, XIONG X F, MAO Y M. Classification method for interval uncertain data based on improved naive Bayes[J]. Journal of Computer Applications, 2014, 34(11):3268-3272.) [12] 翟军昌, 秦玉平, 车伟伟. 垃圾邮件过滤中信息增益的改进研究[J]. 计算机科学, 2014, 41(6):214-216.(ZHAI J C, QIN Y P, CHE W W. Improvement of information gain in spam filtering[J]. Computer Science, 2014, 41(6):214-216.) [13] 罗凌, 杨有, 马燕. 基于TAN贝叶斯网络的学习风格检测研究[J]. 计算机工程与应用, 2015, 51(6):48-54.(LUO L, YANG Y, MA Y. Research on detecting learning style based on TAN Bayesian network[J]. Computer Engineering and Applications, 2015, 51(6):48-54.) [14] 张红蕊, 张永, 于静雯. 云计算环境下基于朴素贝叶斯的数据分类[J]. 计算机应用与软件, 2015, 32(3):27-30.(ZHANG H R, ZHANG Y, YU J W. Data classification based on naive Bayes in cloud computing environment[J]. Computer Applications and Software, 2015, 32(3):27-30.) [15] 卫洁, 石洪波, 冀素琴. 基于Hadoop的分布式朴素贝叶斯文本分类[J]. 计算机系统应用, 2012, 21(2):210-213.(WEI J, SHI H B, JI S Q. Distributed naive Bayes text classification using Hadoop[J]. Computer Systems and Applications, 2012, 21(2):210-213.) [16] MCCALLUM A, NIGAM K. A comparison of event models for naive Bayes text classification[C]//Proceedings of the 25th International Symposium on Computer and Information Sciences. Berlin:Springer, 1998:41-48. [17] JIANG S, SAYYAD-SHIRABAD J, MATWIN S. Large scale text classification using semi-supervised multinomial naive Bayes[C]//Proceedings of the 28th International Conference on Machine Learning. Bellevue, WA:ICML, 2011:97-104. [18] SALTON G, BUCKLEY C. Term-weighting approaches in automatic text retrieval[J]. Information Processing & Management, 1988, 24(5):513-523. |