陈洁

陈洁,女讲师,于2009年在厦门大学获得软件工程学士学位与经济学学士学位,于2016年在中国科学院软件研究所获得计算软件与理论专业博士学位并于2012年至2013年期间以联合培养博士研究生身份到美国麻省大学访问学习。 

主要研究方向包括:软件工程与大数据分析,涉及软件性能分析、软件测试、开源社区数据挖掘、代码质量分析等方向。主持国家自然科学青年基金一项,浙江省青年基金一项,参与国家自然科学基金、浙江省重点研发计划等多个项目,发表SCI论文多篇,包括ESE,JSSICPC等国际权威期刊和会议,并获得ICSSP2014唯一最佳论文奖(Best Paper Award)。作为组织委员会成员参与组织ESEM2015HASE2019


联系方式:cjie@hdu.edu.cn

个人主页:https://faculty.hdu.edu.cn/jsjxy/cj2/main.htm

 

代表性论文:

[1].  Chen, J. ,  Jiang, T., Hu, H. , &  Yu, D. . (2023). Pattern-Based Circular Reference Detection in Python. I Science of Computer Programming. (CCF B )

[2]. Chen, J. ,  Hu, H. , &  Yu, D. . (2022). Characterizing and detecting methods to be benchmarked under performance unit test. International Journal of Software Engineering and Knowledge Engineering. (CCF C )

[3]. Hu, H., Chen, J*., Liu, H. et al. (2022). Natural Language-Based Automatic Programming for Industrial Robots. J Grid Computing. (CCF C)

[4]. Chen, J. ,  Hu, H. , &  Yu, D. . (2022). Characterizing and Triaging Change Points. In Companion of the 2022 ACM/SPEC International Conference on Performance Engineering (ICPE '22). (CCF C )

[5]. Chen, J. ,  Yu, D. ,  Hu, H. ,  Li, Z. , &  Hu, H. (2019). Analyzing performance-aware code changes in software development process. IEEE/ACM International Conference on Program Comprehension. (CCF B )

[6]. Zhou, M. ,  Chen, J. *,  Hu, H. ,  Yu, J. , &  Hu, H. . (2019). DeepTLE: Learning Code-Level Features to Predict Code Performance before It Runs. 2019 26th Asia-Pacific Software Engineering Conference (APSEC). IEEE. (CCF C)

[7]. Chen, J., Xiao, J., Wang, Q., Osterweil, L. J., & Li, M. (2016). Perspectives on refactoring planning and practice: an empirical study. Empirical Software Engineering (CCF B )

[8]. Chen, J., Xu, X., Osterweil, L. J., Zhu, L., Brun, Y., Bass, L…..& Wang, Q. (2015). Using simulation to evaluate error detection strategies: A case study of cloud-based deployment processes. Journal of System and Software (CCF B  )

[9]. Chen, J., Xiao, J., Wang, Q., Osterweil, L. J., & Li, M. (2014). Refactoring planning and practice in agile software development: an empirical study. International Conference on Software and System Process (CCF C 类,会议最佳论文)