Page 63 - 《软件学报》2020年第11期
P. 63

陆璇  等:数据驱动的移动应用用户接受度建模与预测                                                       3379


                [42]    Tibshirani R. Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society, Series B (Methodological),
                     1996,58(1):267−288.
                [43]    Hoerl AE, Kennard RW. Ridge regression: Biased estimation for nonorthogonal problems. Technometrics, 1970,12(1):55−67.
                [44]    Ho TK. Random decision forests. In: Proc. of the 3rd Int’l Conf. on Document Analysis and Recognition, Vol.1. 1995. 278−282.
                [45]    Kendall MG. A new measure of rank correlation. Biometrika, 1938,30(1/2):81−93.
                [46]    Sugiura N, Ogden RT. Testing change-points with linear trend. Communications in Statistics-Simulation and Computation, 1994,
                     23(2):287−322.
                [47]    Ge X, Smyth  P. Segmental semi-Markov models for endpoint  detection  in plasma etching.  IEEE Trans. on  Semiconductor
                     Engineering, 2001,259:201−209.
                [48]    Chua L, Deng AC. Canonical piecewise-linear modeling. IEEE Trans. on Circuits and Systems, 1986,33(5):511−525.
                [49]    Stigler SM. Francis Galton’s account of the invention of correlation. Statistical Science, 1989,4(2):73−79.
                [50]    Ruiz EJ, Hristidis V, Castillo C, Gionis A, Jaimes A. Correlating financial time series with micro-blogging activity. In: Proc. of the
                     5th ACM Int’l Conf. on Web Search and Data Mining. 2012. 513−522.
                [51]    McIlroy S,  Ali  N, Hassan  AE. Fresh  apps:  An  empirical study of frequently-updated  mobile  apps in the  Google Play store.
                     Empirical Software Engineering, 2016,21(3):1346−1370.
                [52]    Moሷller A, Michahelles F, Diewald S, Roalter L, Kranz M. Update behavior in app markets and security implications: A case study
                     in Google Play. In: Proc. of the 3rd Int’l Workshop on Research in the Large. 2012. 3−6.
                [53]    Manning CD, Raghavan  P,  Schuሷtze  H.  Scoring, term  weighting  and the vector space  model. In: Introduction to  Information
                     Retrieval. 2008. 109−133.
                [54]    Martin W, Harman M, Jia Y, Sarro F, Zhang Y. The app sampling problem for app store mining. In: Proc. of the IEEE/ACM 12th
                     Working Conf. on Mining Software Repositories. 2015. 123−133.
                [55]    Rennie JD, Shih L, Teevan J, Karger DR. Tackling the poor assumptions of naive bayes text classifiers. In: Proc. of the 20th Int’l
                     Conf. on Machine Learning. 2003. 616−623.

                 附中文参考文献:
                  [5]  孙悦,郭斌,欧阳逸,於志文,王柱.基于群智数据的移动 APP 演化策略研究.计算机科学与探索,2020,14(1):40−50.
                  [9]  张冬梅,韩石,楼建光,党映农,张海东,谢涛.软件解析学——要点与实践.中国计算机学会通讯,2014,10(3):29−36.
                 [10]  沈国华,黄志球,谢冰,朱羿全,廖莉莉,王飞,刘银陵.软件可信评估研究综述:标准、模型与工具.软件学报,2016,27(4):955−968.
                     http://www.jos.org.cn/1000-9825/5024.htm [doi: 10.13328/j.cnki.jos.005024]
                 [11]  胡甜媛,姜瑛.体现使用反馈的 APP 软件用户评论挖掘.软件学报,2019,30(10):3168−3185. http://www.jos.org.cn/1000-9825/5794.
                     htm [doi: 10.13328/j.cnki.jos.005794]
                 [40]  张艺璇,郭斌,欧阳逸,王柱,於志文.移动 APP 演化模式分析与预测.计算机科学与探索,2019,13(12):1981−1994.
                 [41]  王浩宇,郭耀,马子昂,陈向群.大规模移动应用第三方库自动检测和分类方法.软件学报,2017,28(6):1373−1388. http://www.jos.
                     org.cn/1000-9825/5221.htm [doi: 10.13328/j.cnki.jos.005221]



                              陆璇(1991-),女,博士,主要研究领域为软                      刘譞哲(1980-),男,博士,副教授,博士生
                              件解析学,数据挖掘.                                   导师,CCF 高级会员,主要研究领域为服务
                                                                           计算,系统软件.



                              陈震鹏(1994-),男,博士生,CCF 学生会                     梅宏(1963-),男,博士,教授,博士生导师,
                              员 , 主要 研究 领域 为 软 件 解析学 , 数据                  CCF 会士,主要研究领域为软件工程,系统
                              挖掘.                                          软件.
   58   59   60   61   62   63   64   65   66   67   68