王俊杰 - 中国科学院大学 - 计算机科学与技术学院

个人简介

教育背景 2009-09--2015-06 中国科学院软件研究所博士研究生 2005-09--2009-06 华中师范大学学士工作简历 2017-10~现在, 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, 助理研究员专利成果（ 1 ）一种众测人员集合推荐方法, 发明, 2019, 第 1 作者, 专利号: 201910280296.X （ 2 ）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, 2019, 第 1 作者, 专利号: 201911247610.0 （ 3 ）一种基于深度学习的一对多需求分析识别方法, 发明, 2019, 第 2 作者, 专利号: 201911350243.7 科研项目（ 1 ）众测环境下测试报告的智能筛选方法研究, 主持, 国家级, 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, 国家级, 2019-07--2022-06

研究领域

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

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

（1） Context-aware In-process Crowdworker Recommendation, International Conference on Software Engineering 2020, 2020, 第 1 作者（2） Improving Completion-Aware Crowdtesting Management with Duplicate Tagger and Sanity Checker, ACM Transactions on Software Engineering and Methodology (TOSEM), 2020, 第 1 作者（3） Is There A “Golden” Rule for Code Reviewer Recommendation? —An Experimental Evaluation, IEEE International Conference on Software Security and Reliability (QRS), 2020, 第 2 作者（4）响应时间约束的代码评审人推荐方法, 软件学报, 2020, 第 2 作者（5） Enhancing Unsupervised Requirements Traceability with Sequential Semantics, 26th Asia-Pacific Software Engineering Conference (APSEC 2019), 2019, 第 3 作者（6） 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, 第 2 作者（7） iSENSE : Completion-Aware Crowdtesting Management, 41st ACM/IEEE International Conference on Software Engineering, 2019, 第 1 作者（8） Images Don't Lie: Duplicate Crowdtesting Reports Detection With Screenshot Information, Information and Software Technology, 2019, 第 1 作者（9） Characterizing Crowds to Better Optimize Worker Recommendation in Crowdsourced Testing, IEEE Transactions on Software Engineering, 2019, 第 1 作者（10） A Class-level Test Selection Approach Toward Full coverage for continuous integration, 31st International Conference on Software Engineering and Knowledge Engineering, 2019, 第 2 作者（11） Is there a "golden" feature set for static warning identification?: an experimental evaluation, 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2018, 第 1 作者（12） Domain Adaptation for Test Report Classification in Crowdsourced Testing, 39th International Conference on Software Engineering : Software Engineering in Practice Track, 2017, 第 1 作者（13） Who Should Be Selected to Perform a Task in Crowdsourced Testing, IEEE 41th Annual Computer Software and Applications Conference, 2017, 第 2 作者（14） Multi-Objective Crowd Worker Selection in Crowdsourced Testing, 29th International Conference on Software Engineering and Knowledge Engineering, 2017, 第 3 作者（15） Local-based Active Classification of Test Report to Assist Crowdsourced Testing, 31st International Conference on Automated Software Engineering, 2016, 第 1 作者（16） Towards Effectively Test Report Classification to Assist Crowdsourced Testing, 10th International Symposium on Empirical Software Engineering and Measurement, 2016, 第 1 作者（17） Analyzing and Predicting Software Integration Bugs Using Network Analysis on Requirements Dependency Network, Requirements Engineering, 2016, 第 1 作者（18） Stage-oriented Analysis on Factors Impacting Bug Fixing Time, 28th International Conference on Software Engineering and Knowledge Engineering, 2016, 第 2 作者