智能软件工程，软件工程大数据，经验软件工程，软件质量，众包软件测试

2009-09--2015-06   中国科学院软件研究所   博士研究生
2005-09--2009-06   华中师范大学   学士

   

2022-10~现在, 中国科学院软件研究所, 研究员
2017-10~2022-10,中国科学院软件研究所, 副研究员
2017-09~2018-09,美国北卡罗莱纳州立大学, 访问学者
2015-07~2017-10,中国科学院软件研究所, 助理研究员

   

（1） ACM SIGSOFT Distinguished Paper Award at ICPC2022, 一等奖, 其他, 2021
（2） ACM SIGSOFT Distinguished Paper Award at ICSE2020, 一等奖, 其他, 2020
（3） IEEE Best Paper Award at QRS2019, 一等奖, 其他, 2019
（4） ACM SIGSOFT Distinguished Paper Award at ICSE2019, 一等奖, 其他, 2019

（ 1 ） 面向公平性的众包测试人员推荐方法, 发明专利, 2021, 第 1 作者, 专利号: 202111367989.6

（ 2 ） 基于应用程序状态转换图的智能辅助引导测试方法及装置, 发明专利, 2021, 第 2 作者, 专利号: CN113238952A

（ 3 ） 一种结合静态依赖和动态执行规则的测试用例选择方法, 专利授权, 2020, 第 2 作者, 专利号: CN110554954B

（ 4 ） 应用程序用户界面缺陷的自动化检测与定位方法及电子装置, 发明专利, 2020, 第 2 作者, 专利号: CN111797007A

（ 5 ） 一种众包测试任务选择方法及电子装置, 发明专利, 2020, 第 1 作者, 专利号: CN111666207A

（ 6 ） 众包测试人员推荐与众包测试方法及电子装置, 发明专利, 2020, 第 1 作者, 专利号: CN111522733A

（ 7 ） 一种基于深度学习的一对多需求分析识别方法, 发明专利, 2020, 第 2 作者, 专利号: CN111158640A

（ 8 ） 一种基于众测过程的众测任务关闭时间自动预测方法, 发明专利, 2020, 第 1 作者, 专利号: CN111090585A

（ 9 ） 一种众测人员集合推荐方法, 发明专利, 2019, 第 1 作者, 专利号: CN110096569A

   

[1] Wang, Junjie, Yang, Ye, Wang, Song, Hu, Jun, Wang, Qing. Context- and Fairness-Aware In-Process Crowdworker Recommendation. ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY[J]. 2022, 31(3): http://dx.doi.org/10.1145/3487571.
[2] 刘哲, 王俊杰, 胡军, 黄悦凯, 王青. Guided bug crush: Assist manual gui testing of android apps via hint moves. ACM CHI Conference on Human Factors in Computing Systems (CHI 2022)null. 2022, [3] Junjie Wang, 王青. Context-Aware Personalized Crowdtesting Task Recommendation. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING[J]. 2022, [4] Yuchao Huang, Moshi Wei, Song Wang, Junjie Wang, Qing Wang. Yet another combination of IR- and neural-based comment generation. INFORMATION AND SOFTWARE TECHNOLOGY[J]. 2022, 152: http://dx.doi.org/10.1016/j.infsof.2022.107001.
[5] 石琳, 沐方文, 陈啸, 王松, 王俊杰, 杨叶, 李戈, 夏鑫, 王青. Are We Building on the Rock? On the Importance of Data Preprocessing for Code Summarization. FSE2022null. 2022, [6] Li, Mingyang, Shi, Lin, Wang, Yawen, Wang, Junjie, Wang, Qing, Hu, Jun, Peng, Xinhua, Liao, Weimin, Pi, Guizhen. Automated data function extraction from textual requirements by leveraging semi-supervised CRF and language model. INFORMATION AND SOFTWARE TECHNOLOGY[J]. 2022, 143: http://dx.doi.org/10.1016/j.infsof.2021.106770.
[7] 王俊杰, YE YANG, SONG WANG, 胡军, 王青. Context- and Fairness-aware In-process Crowdworker Recommendation. ACM Trans. Softw. Eng. Methodology[J]. 2022, [8] 胡渊喆, 王俊杰, 李守斌, 胡军, 王青. 响应时间约束的代码评审人推荐. 软件学报[J]. 2021, 32(11): 3372-3387, http://lib.cqvip.com/Qikan/Article/Detail?id=7106211020.
[9] Su, Yuhui, Liu, Zhe, Chen, Chunyang, Wang, Junjie, Wang, Qing. OwlEyes-Online: A Fully Automated Platform for Detecting and Localizing UI Display Issues. 2021, http://arxiv.org/abs/2107.02364.
[10] 王俊杰, Song Wang, Jianfeng Chen, Tim Menzies, Qiang Cui, Miao Xie, Qing Wang. Characterizing Crowds to Better Optimize Worker Recommendation in Crowdsourced Testing. IEEE Transactions on Software Engineering[J]. 2021, [11] Song Wang, Nishtha Shrestha, Abarna Kucheri Subburaman, Junjie Wang. Automatic Unit Test Generation for Machine Learning Libraries: How Far Are We?. International Conference on Software Engineering[J]. 2021, [12] Yang, Xueqi, Yu, Zhe, Wang, Junjie, Menzies, Tim. Understanding static code warnings: An incremental AI approach. EXPERT SYSTEMS WITH APPLICATIONS[J]. 2021, 167: http://dx.doi.org/10.1016/j.eswa.2020.114134.
[13] Wang, Junjie, Wang, Song, Chen, Jianfeng, Menzies, Tim, Cui, Qiang, Xie, Miao, Wang, Qing. Characterizing Crowds to Better Optimize Worker Recommendation in Crowdsourced Testing. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING[J]. 2021, 47(6): 1259-1276, http://dx.doi.org/10.1109/TSE.2019.2918520.
[14] Dandan Wang, Qing Wang, Junjie Wang, Lin Shi. Accept or Not? An Empirical Study on Analyzing the Factors that Affect the Outcomes of Modern Code Review?. QRSnull. 2021, [15] Yuekai Huang, Junjie Wang, Song Wang, Zhe Liu, Dandan Wang, Qing Wang. Characterizing and Predicting Good First Issues. International Symposium on Empirical Software Engineering and Measurementnull. 2021, [16] Song Wang, Junjie Wang, Jaechang Nam, Nachiappan Nagappan. Continuous Software Bug Prediction. ESEMnull. 2021, [17] 周明辉, 王青, 周毓明, 王俊杰, 谭鑫. 数据驱动的软件工程. 科技纵览[J]. 2020, 60-62, http://lib.cqvip.com/Qikan/Article/Detail?id=7101743211.
[18] Li, Yingling, Wang, Junjie, Yang, Yun, Wang, Qing. An extensive study of class-level and method-level test case selection for continuous integration. JOURNAL OF SYSTEMS AND SOFTWARE[J]. 2020, 167: http://dx.doi.org/10.1016/j.jss.2020.110614.
[19] Liu, Zhe, Chen, Chunyang, Wang, Junjie, Huang, Yuekai, Hu, Jun, Wang, Qing. Owl Eyes: Spotting UI Display Issues via Visual Understanding. 2020, http://arxiv.org/abs/2009.01417.
[20] 王青. 响应时间约束的代码评审人推荐方法. 软件学报. 2020, [21] Junjie Wang, Yuanzhe Hu, Qing Wang. Context-aware in-process crowdworker recommendation. 42th International Conference on Software Engineering: Software Engineering[J]. 2020, [22] Liu, Zhe, Chen, Chunyang, Wang, Junjie, Huang, Yuekai, Hu, Jun, Wang, Qing, IEEE Comp Soc. Owl Eyes: Spotting UI Display Issues via Visual Understanding. 2020 35TH IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING (ASE 2020)null. 2020, 398-409, http://dx.doi.org/10.1145/3324884.3416547.
[23] Wang, Junjie, Yang, Ye, Menzies, Tim, Wang, Qing. iSENSE2.0: Improving Completion-aware Crowdtesting Management with Duplicate Tagger and Sanity Checker. ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY[J]. 2020, 29(4): http://dx.doi.org/10.1145/3394602.
[24] Yuekai Huang, Yuanzhe Hu, Qing Wang. Quest for the Golden Approach: An Experimental Evaluation of Duplicate Crowdtesting Reports Detection . ESEM[J]. 2020, [25] 王青, 王崇骏, 叶东升, 黄松, 黄万民, 陈振宇, 王俊杰. 信息产品及科技服务集成化众测服务研究. 中国基础科学[J]. 2020, 43-48, http://lib.cqvip.com/Qikan/Article/Detail?id=7102566859.
[26] 李威威, 马越, 王俊杰, 高伟毅, 杨秋松, 李明树. 基于硬件分支信息的ROP攻击检测方法. 软件学报[J]. 2020, 31(11): 3588-3602, http://lib.cqvip.com/Qikan/Article/Detail?id=7103363904.
[27] Yuanzhe Hu, Junjie Wang, Qing Wang. Is There A "Golden" Rule for Code Reviewer Recommendation? —An Experimental Evaluation. QRS[J]. 2020, [28] Wang, Junjie, Yang, Ye, Wang, Qing. Artificial Intelligence-Powered Worker Engagement in Software Crowdsourcing. IEEE SOFTWARE[J]. 2020, 37(6): 94-98, https://www.webofscience.com/wos/woscc/full-record/WOS:000583739500002.
[29] Qing Wang. A Class-level Test Selection Approach Toward Full Coverage For Continuous Integration. 31th International Conference on Software Engineering and Knowledge Engineering (SEKE 2019). 2019, [30] Qing Wang. Method-level Test Selection for Continuous Integration with Static Dependencies and Dynamic Execution Rules. 19th IEEE International Conference on Software Quality, Reliability, and Security. 2019, [31] Wang, Junjie, Yang, Ye, Krishna, Rahul, Menzies, Tim, Wang, Qing, IEEE. iSENSE: Completion-Aware Crowdtesting Management. 2019 IEEE/ACM 41ST INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE 2019)null. 2019, 912-923, [32] Chen Lei, Wang Dandan, Wang Junjie, Wang Qing, IEEE. Enhancing Unsupervised Requirements Traceability with Sequential Semantics. 2019 26TH ASIA-PACIFIC SOFTWARE ENGINEERING CONFERENCE (APSEC)null. 2019, 23-30,  http://dx.doi.org/10.1109/APSEC48747.2019.00013.
[33] Wang, Junjie, Li, Mingyang, Wang, Song, Menzies, Tim, Wang, Qing. Images don't lie: Duplicate crowdtesting reports detection with screenshot information. INFORMATION AND SOFTWARE TECHNOLOGY[J]. 2019, 110: 139-155, http://dx.doi.org/10.1016/j.infsof.2019.03.003.
[34] Wang Junjie, Wang Song, Wang Qing, ACM. Is There A "Golden" Feature Set for Static Warning Identification? - An Experimental Evaluation. PROCEEDINGS OF THE 12TH ACM/IEEE INTERNATIONAL SYMPOSIUM ON EMPIRICAL SOFTWARE ENGINEERING AND MEASUREMENT (ESEM 2018)null. 2018, http://dx.doi.org/10.1145/3239235.3239523.
[35] 崔强, 王俊杰, 谢淼, 王青. 众测中的工作者选择方法研究. 软件学报[J]. 2018, 29(12): 3648-3664, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2019&filename=RJXB201812005&v=MDMwMDRiTEc0SDluTnJZOUZZWVI4ZVgxTHV4WVM3RGgxVDNxVHJXTTFGckNVUjdxZVorUnZGaWptVjd2TE55ZlQ=.
[36] Qiang Cui, Yuanzhe Hu, Qing Wang. Multi-Objective Crowd Worker Selection in Crowdsourced Testing,. The 29th International Conference on Software Engineering and Knowledge Engineering (SEKE ‘17)[J]. 2017, [37] 张宇光, 王俊杰, 胡渊喆, 王青. 面向工作流的Gitlab服务化设计. 计算机系统应用[J]. 2017, 26(9): 224-231, http://lib.cqvip.com/Qikan/Article/Detail?id=673109837.
[38] Wang, Junjie, Cui, Qiang, Wang, Song, Wang, Qing, IEEE. Domain Adaptation for Test Report Classification in Crowdsourced Testing. 2017 IEEE/ACM 39TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: SOFTWARE ENGINEERING IN PRACTICE TRACK (ICSE-SEIP 2017)null. 2017, 83-92, http://dx.doi.org/10.1109/ICSE-SEIP.2017.8.
[39] Cui, Qiang, Wang, Junjie, Yang, Guowei, Xie, Miao, Wang, Qing, Li, Mingshu, Reisman, S, Ahamed, SI, Demartini, C, Conte, T, Liu, L, Claycomb, W, Nakamura, M, Tovar, E, Cimato, S, Lung, CH, Takakura, H, Yang, JJ, Akiyama, T, Zhang, Z, Hasan, K. Who Should Be Selected to Perform a Task in Crowdsourced Testing?. 2017IEEE41STANNUALCOMPUTERSOFTWAREANDAPPLICATIONSCONFERENCECOMPSACVOL1null. 2017, 75-84, [40] Wang, Junjie, Wang, Qing. Analyzing and predicting software integration bugs using network analysis on requirements dependency network. REQUIREMENTS ENGINEERING[J]. 2016, 21(2): 161-184, https://www.webofscience.com/wos/woscc/full-record/WOS:000376412200001.
[41] Wang Junjie, Wang Song, Cui Qiang, Wang Qing, Lo D, Apel S, Khurshid S. Local-Based Active Classification of Test Report to Assist Crowdsourced Testing. 2016 31ST IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING (ASE)null. 2016, 190-201, [42] Qing Wang. Stage-oriented Analysis on Factors Impacting Bug Fixing Time. SEKE. 2016, [43] 王俊杰. Towards Effectively Test Report Classification to Assist Crowdsourced Testing. 10th International Symposium on Empirical Software Engineering and Measurement. 2016, [44] Wang Junjie, Li Juan, Wang Qing, Zhang He, Wang Haitao. A simulation approach for impact analysis of requirement volatility considering dependency change. LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS)null. 2012, 59-76, http://ir.iscas.ac.cn/handle/311060/15714.

（1） Intelligent Crowdsourced Testing, Springer, 2022-10, 第 3 作者

   

（ 1 ） 众测环境下测试报告的智能筛选方法研究, 负责人, 国家任务, 2017-01--2019-12
（ 2 ） 信息产品及科技服务集成化众测服务平台研发与应用, 参与, 国家任务, 2019-07--2022-06
（ 3 ） 众测人人协同技术, 负责人, 国家任务, 2019-07--2022-06
（ 4 ） 软件众包测试智能服务技术研究, 负责人, 国家任务, 2021-01--2024-12
（ 5 ） 大规模缺陷库的自动构建与应用, 参与, 国家任务, 2023-01--2027-12

刘哲  博士研究生（硕博连读）  2017.9入学

黄悦凯  博士研究生（硕博连读）  2017.9入学

黄芋超  博士研究生（硕博连读）  2018.9入学

苏宇辉  硕士研究生  2020.9入学

明旭冉  硕士研究生  2020.9入学

王凯锐  硕士研究生  2021.9入学

闫熠光  硕士研究生  2021.9入学

秦昊  硕士研究生  2022.9入学

车行  硕士研究生  2022.9入学