Computer Science ›› 2020, Vol. 47 ›› Issue (3): 41-47.doi: 10.11896/jsjkx.191100132
Special Issue: Intelligent Software Engineering
• Intelligent Software Engineering • Previous Articles Next Articles
XU Hai-yan,JIANG Ying
CLC Number:
[1]PAGANO D,BRÜGGE B.User involvement in software evolution practice:a case study[C]∥International Conference on Software Engineering.San Francisco:IEEE Press,2013:953-962. [2]LU Z,YANG D,LI J.A software evaluation system based on reviews mining[J].Computer Applications and Software,2014,31(7):1-4. [3]RADHIKA D,VENKATASUBRAMANYAM R D,SOWMYA G R.Why is dynamic analysis not used as extensively as static analysis:an industrial study[C]∥Proceedings of the 1st International Workshop on Software Engineering Research and Industrial Practices.2014:24-33. [4]HUANG P J,YANG M Q.Research and Application of Static Metrics for Code Quality[J].Computer Engineering and Applications,2011,47(23):61-63. [5]LIU D R,LIU D S,ZHANG L P,et al.Prediction of Code Clone Quality Based on Bayesian Network[J].Computer Science,2017,44(4):165-168. [6]XU N C,YUAN J,GAO X L.Code-based IT Community Answer Quality Evaluation Model[J].Journal of Chinese Computer Systems.2019,40(1):158-163. [7]POCHE E,JHA N,WILLIAMS G,et al.Analyzing User Comments on YouTube Coding Tutorial Videos[C]∥ IEEE/ACM International Conference on Program Comprehension.IEEE,2017. [8]ZHANY Y H,ZHU X F,XU C Y,et al.Hybrid Recommendation Approach Based on Deep Sentiment Analysis of User Reviews and Multi-View Collaborative Fusion[J].Chinese Journal of Computers,2019,42(6):1317-1333. [9]FENG Y,CHEN Y G,QIONG B H.Social and Comment Text CNN Model Based Automobile Recommendation[J].Acta Automatica Sinica,2019,45(3):76-87. [10]ZHANG Y,WANG C,GUO W Y,et al.Multi-Source Emotion Tagging for Online News Comments Using Bi-DirectionalHie- rarchical Semantic Representation Model[J].Journal ofCompu-ter Research and Development,2018,55(5):43-54. [11]CHEN Q,ZHANG L,JIANG J,et al.Review Analysis Method Based on Support Vector Machine and Latent Dirichlet Allocation[J].Journal of Software,2019,30(5):349-362. [12]TOLL D,ASSEMA J V,DURAN R,et al.I know it when I see it:Perceptions of Code Quality[C]∥ Acm Conference on Innovation & Technology in Computer Science Education.ACM,2017. [13]HU T Y,JIANG Y.Mining of User’s Comments Reflecting Usage Feedback for APP Software[J].Journal of Software,2019,30(10):3168-3185. [14]ZHENG R J.Computer Software Testing Technology[M].Beijing:Tsinghua University Press,1992:31-35. [15]ATOUM I,BONG C H,KULATHURAMAIYER N.Towards resolving software quality-in-use measurement challenges [J].Computer Science,2015,5(11):877-885. [16]LEOPAIROTE W,SURARERKS A,PROMPOON N.Software quality in use characteristic mining from customer reviews[C]∥Digital Information and Communication Technology and Applications (DICTAP).2012:434-439. [17]ZHANG H B,ZHONG H,HU X L.User Reviews Clustering Method Based on Topic Analysis[J].Computer Science,2019,46(8):50-55. [18]LEVENSHTEIN V.Binary codes capable of correcting dele- tions,insertions,and reversals[J].Soviet Physics Doklady,1966,10(8):707-710. [19]DENG H C,WANG M F.Theoretical Study of the Relationship between Recall and Precision Ratio[J].Journalof The China Societyfor Scientificand Technical Information,2000,19(4):359-362. [20]KIM Y.Convolutional neural networks for sentence classification[C]∥Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP).Doha,Qatar,2014:1746-1751. |
[1] | XU Yong-xin, ZHAO Jun-feng, WANG Ya-sha, XIE Bing, YANG Kai. Temporal Knowledge Graph Representation Learning [J]. Computer Science, 2022, 49(9): 162-171. |
[2] | WANG Zi-kai, ZHU Jian, ZHANG Bo-jun, HU Kai. Research and Implementation of Parallel Method in Blockchain and Smart Contract [J]. Computer Science, 2022, 49(9): 312-317. |
[3] | ZENG Zhi-xian, CAO Jian-jun, WENG Nian-feng, JIANG Guo-quan, XU Bin. Fine-grained Semantic Association Video-Text Cross-modal Entity Resolution Based on Attention Mechanism [J]. Computer Science, 2022, 49(7): 106-112. |
[4] | XIONG Luo-geng, ZHENG Shang, ZOU Hai-tao, YU Hua-long, GAO Shang. Software Self-admitted Technical Debt Identification with Bidirectional Gate Recurrent Unit and Attention Mechanism [J]. Computer Science, 2022, 49(7): 212-219. |
[5] | PAN Zhi-yong, CHENG Bao-lei, FAN Jian-xi, BIAN Qing-rong. Algorithm to Construct Node-independent Spanning Trees in Data Center Network BCDC [J]. Computer Science, 2022, 49(7): 287-296. |
[6] | LI Tang, QIN Xiao-lin, CHI He-yu, FEI Ke. Secure Coordination Model for Multiple Unmanned Systems [J]. Computer Science, 2022, 49(7): 332-339. |
[7] | HUANG Jue, ZHOU Chun-lai. Frequency Feature Extraction Based on Localized Differential Privacy [J]. Computer Science, 2022, 49(7): 350-356. |
[8] | YE Yue-jin, LI Fang, CHEN De-xun, GUO Heng, CHEN Xin. Study on Preprocessing Algorithm for Partition Reconnection of Unstructured-grid Based on Domestic Many-core Architecture [J]. Computer Science, 2022, 49(6): 73-80. |
[9] | ZHAO Jing-wen, FU Yan, WU Yan-xia, CHEN Jun-wen, FENG Yun, DONG Ji-bin, LIU Jia-qi. Survey on Multithreaded Data Race Detection Techniques [J]. Computer Science, 2022, 49(6): 89-98. |
[10] | CHEN Xin, LI Fang, DING Hai-xin, SUN Wei-ze, LIU Xin, CHEN De-xun, YE Yue-jin, HE Xiang. Parallel Optimization Method of Unstructured-grid Computing in CFD for DomesticHeterogeneous Many-core Architecture [J]. Computer Science, 2022, 49(6): 99-107. |
[11] | WANG Yi, LI Zheng-hao, CHEN Xing. Recommendation of Android Application Services via User Scenarios [J]. Computer Science, 2022, 49(6A): 267-271. |
[12] | FU Li-yu, LU Ge-hao, WU Yi-ming, LUO Ya-ling. Overview of Research and Development of Blockchain Technology [J]. Computer Science, 2022, 49(6A): 447-461. |
[13] | JIANG Cheng-man, HUA Bao-jian, FAN Qi-liang, ZHU Hong-jun, XU Bo, PAN Zhi-zhong. Empirical Security Study of Native Code in Python Virtual Machines [J]. Computer Science, 2022, 49(6A): 474-479. |
[14] | YUAN Hao-nan, WANG Rui-jin, ZHENG Bo-wen, WU Bang-yan. Design and Implementation of Cross-chain Trusted EMR Sharing System Based on Fabric [J]. Computer Science, 2022, 49(6A): 490-495. |
[15] | CHEN Jun-wu, YU Hua-shan. Strategies for Improving Δ-stepping Algorithm on Scale-free Graphs [J]. Computer Science, 2022, 49(6A): 594-600. |
|