Computer Science ›› 2020, Vol. 47 ›› Issue (3): 54-60.doi: 10.11896/jsjkx.191100085
Special Issue: Intelligent Software Engineering
• Intelligent Software Engineering • Previous Articles Next Articles
TANG Wen-jun,ZHANG Jia-li,CHEN Rong,GUO Shi-kai
CLC Number:
[1]HUSSAIN S,WANG Z,TOURE I,et al.Web Service Testing Tools:A Comparative Study [J],CoRR,2013,10(1):641-647. [2]LIU X,HSIEH Y,CHEN R,et al.Distributed testing system for web service based on crowdsourcing [J].Complexity,2018:2170585:1-2170585:15. [3]LIU D,BIAS R,LEASE M,et al.Crowdsourcing for Usability Testing[C]∥Association for Information Science and Technology.2012:1-10. [4]RAHMAN H,ROY S,THIRUMURUGANATHAN S,et al. Task Assignment Optimization in Collaborative Crowdsourcing[C]∥IEEE International Conference on Data Mining.2015:949-954. [5]KOMAROV S,REINECKE K,GAJOS K.Crowdsourcing per- formance evaluations of user interfaces[C]∥Computer Human Interaction.2013:207-216. [6]IPEIROTIS P.Analyzing the Amazon Mechanical Turk Marketplace[J].CM Crossroads Student Magazine,2010,17(2):16-21. [7]TIAN X,LI H,FENG L.Web Service Reliability Test Method Based on Log Analysis[C]∥Software Quality.Reliability and Security,2017:195-199. [8]DU Z,MIAO H.Research review on web service composition testing[C]∥The International Workshop on Structured Object-oriented Formal Language and Method.2018:39-51. [9]GUO S,LIU Y,CHEN R,et al.Improved SMOTE Algorithm to Deal with Imbalanced Activity Classes in Smart Homes[J].Neural Processing Letters,2019,50(2):1503-1526. [10]GARDLO B.Quality of Experience Evaluation Methodology via Crowdsourcing[D].ilina:University of ilina,2012. [11]GARDLO B,EGGER S,SEUFERT M,et al.Crowdsourcing 2.0:Enhancing execution speed and reliability of web-based QoE testing[C]∥IEEE International Conference on Communications.2014:1070-1075. [12]BLANCO R,HALPIN H,HERZIG D,et al.Repeatable and reliable search system evaluation using crowdsourcing [C]∥International Conference on Research and Development in Information Retrieval.2011:923-932. [13]SHERIEF N,JIANG N,HOSSEINI M,et al.Crowdsourcing software evaluation[C]∥Evaluation & Assessment in Software Engineering.2014:19:1-19:4. [14]CHEN F,KIM S.Crowd debugging,in Joint Meeting on Foundations of Software Engineering [C]∥ESEC/SIGSOFT FSE.2015:320-332. [15]PETRILLO F,SOH Z,KHOMH F,et al.Towards Understan- ding Interactive Debugging [C]∥IEEE International Conference on Software Quality.2016:152-163. [16]PETRILLO F,LACERDA G,et al.Visualizing interactive and shared debugging sessions ∥IEEE Working Conference on Software Visualization.2015:140-144. [17]GUAIANI F,MUCCINI H.Crowd and Laboratory Testing,Can They Co-exist? An Exploratory Study[C]∥International Conference on Software Engineering.2015:32-37. [18]LIU Y,ZHANG T,LI K,et al.Evaluation model of mobile application crowdsourcing testers [J].Journal of Computer Applications,2017,37(12):3569-3573. [19]ZHANG Z Q,PANG J S,XIE X Q,et al.Research on Crowdsourcing Quality Control Strategies and Evaluation Algorithm [J].Chinese Journal of Computers,2013,36(8):1636-1649. [20]CHENG J,GE L Q,ZHANG T,et al.Research on factors affecting quality of mobile application crowdsourced testing [J].Journal of Computer Applications,2018,38(9):2626-2630. [21]FENG J H,LI G L,GENG J H.A Survey on Crowdsourcing [J].Chinese Journal of Computers,2015,38(9):1713-1726. [22]TUNG Y,TSENGE S.A novel approach to collaborative testing in a crowdsourcing environment [J].Journal of Systems and Software,2013,86(8):2143-2153. [23]BOUTSIS I,KALOGERAKI V.On Task Assignment for Real-Time Reliable Crowdsourcing [C]∥IEEE International Conference on Distributed Computing Systems.2014:1-10. [24]BOUTSIS I,KALOGERAKI V.Crowdsourcing under Real- Time Constraints [C]∥International Parallel (and Distributed) Processing Symposium.2013:753-764. [25]HAN Y,SHEN Z,FAUVEL S,et al.Efficient scheduling in crowdsourcing based on workers’ mood[C]∥IEEE Internatio-nal Conference on Agents.2017:121-126. [26]ROY S,LYKOURENTZOU I,THIRUMURUGANATHAN S,et al.Task assignment optimization in knowledge-intensive crowdsourcing [J].The VLDB Journal,2014,24(4):467-491. [27]LI Y J,GUO J F,GOU X M.Software Task Allocation Method in Crowdsourcing [J].Computer Systems & Applications,2015,24(2):1-6. [28]YAN M,SUN H,LIU X.iTest:testing software with mobile crowdsourcing[C]∥CrowdSoft@SIGSOFT FSE.2014:19-24. [29]YAN M,SUN H,LIU X.Efficient Testing of Web Services with Mobile Crowdsourcing[C]∥Internetware.2015:157-165. [30]CLAUSET A,SHALIZI C,NEWMAN M.Power-law distributions in empirical data[J].SIAM Review,2009,51(4):661-703. [31]RUMMERY G,NIRANJAN M.On-line Q-learning using connectionist systems [D].University of Cambridge,1994. [32]TIAN Y L,HUI L.Accelerated modify approach for initial state error iterative learning control in sense of Lebesgue-p norm[J].Control and Decision,2016,31(3):429-434. [33]BARABÁSI A,ALBERT R.Emergence of scaling in random networks[J].Science,1999,286(5439):509-512. [34]ZHENG Z,LYU M.Collaborative reliability prediction of service-oriented systems[C]∥ACM/IEEE International Conference on Software Engineering.2010:35-44. |
[1] | LIU Xing-guang, ZHOU Li, LIU Yan, ZHANG Xiao-ying, TAN Xiang, WEI Ji-bo. Construction and Distribution Method of REM Based on Edge Intelligence [J]. Computer Science, 2022, 49(9): 236-241. |
[2] | SHI Dian-xi, ZHAO Chen-ran, ZHANG Yao-wen, YANG Shao-wu, ZHANG Yong-jun. Adaptive Reward Method for End-to-End Cooperation Based on Multi-agent Reinforcement Learning [J]. Computer Science, 2022, 49(8): 247-256. |
[3] | YUAN Wei-lin, LUO Jun-ren, LU Li-na, CHEN Jia-xing, ZHANG Wan-peng, CHEN Jing. Methods in Adversarial Intelligent Game:A Holistic Comparative Analysis from Perspective of Game Theory and Reinforcement Learning [J]. Computer Science, 2022, 49(8): 191-204. |
[4] | YU Bin, LI Xue-hua, PAN Chun-yu, LI Na. Edge-Cloud Collaborative Resource Allocation Algorithm Based on Deep Reinforcement Learning [J]. Computer Science, 2022, 49(7): 248-253. |
[5] | LI Meng-fei, MAO Ying-chi, TU Zi-jian, WANG Xuan, XU Shu-fang. Server-reliability Task Offloading Strategy Based on Deep Deterministic Policy Gradient [J]. Computer Science, 2022, 49(7): 271-279. |
[6] | GUO Yu-xin, CHEN Xiu-hong. Automatic Summarization Model Combining BERT Word Embedding Representation and Topic Information Enhancement [J]. Computer Science, 2022, 49(6): 313-318. |
[7] | FAN Jing-yu, LIU Quan. Off-policy Maximum Entropy Deep Reinforcement Learning Algorithm Based on RandomlyWeighted Triple Q -Learning [J]. Computer Science, 2022, 49(6): 335-341. |
[8] | XIE Wan-cheng, LI Bin, DAI Yue-yue. PPO Based Task Offloading Scheme in Aerial Reconfigurable Intelligent Surface-assisted Edge Computing [J]. Computer Science, 2022, 49(6): 3-11. |
[9] | HONG Zhi-li, LAI Jun, CAO Lei, CHEN Xi-liang, XU Zhi-xiong. Study on Intelligent Recommendation Method of Dueling Network Reinforcement Learning Based on Regret Exploration [J]. Computer Science, 2022, 49(6): 149-157. |
[10] | ZHANG Jia-neng, LI Hui, WU Hao-lin, WANG Zhuang. Exploration and Exploitation Balanced Experience Replay [J]. Computer Science, 2022, 49(5): 179-185. |
[11] | LI Peng, YI Xiu-wen, QI De-kang, DUAN Zhe-wen, LI Tian-rui. Heating Strategy Optimization Method Based on Deep Learning [J]. Computer Science, 2022, 49(4): 263-268. |
[12] | OUYANG Zhuo, ZHOU Si-yuan, LYU Yong, TAN Guo-ping, ZHANG Yue, XIANG Liang-liang. DRL-based Vehicle Control Strategy for Signal-free Intersections [J]. Computer Science, 2022, 49(3): 46-51. |
[13] | ZHOU Qin, LUO Fei, DING Wei-chao, GU Chun-hua, ZHENG Shuai. Double Speedy Q-Learning Based on Successive Over Relaxation [J]. Computer Science, 2022, 49(3): 239-245. |
[14] | LI Su, SONG Bao-yan, LI Dong, WANG Jun-lu. Composite Blockchain Associated Event Tracing Method for Financial Activities [J]. Computer Science, 2022, 49(3): 346-353. |
[15] | HUANG Xin-quan, LIU Ai-jun, LIANG Xiao-hu, WANG Heng. Load-balanced Geographic Routing Protocol in Aerial Sensor Network [J]. Computer Science, 2022, 49(2): 342-352. |
|