1.简介

匡宏宇，南京大学软件学院助理研究员，软件研发效能实验室成员，博士毕业于南京大学计算机科学与技术系。其研究方向为软件可追踪性、自动化软件可追踪分析、情绪分析、文本分析、程序分析等。在ICSE、FSE、ASE、EMSE、软件学报、ICSME、SANER、JSEP、ICPC、ICWS、ICSOC、WISA、Internetware等软件工程一流国内外会议与期刊上发表论文多篇，并受邀担任JSS、JSEP、SANER 2024等软件工程一流国际期刊与会议的评审人。参与并完成多个科技部重点研发项目以及多项国内某知名IT通信企业技术合作，主持并结题国家自然科学青年基金一项，题目为《基于代码结构化特征的自动化软件可追踪技术研究》，参与跨学科国自然面向项目一项。负责南京大学软件学院需求课程体系建设与教学工作，并担任多门本科专业课的授课教师与本科新生导师。同时担任学院研究生事务助理，协助处理与研究生培养相关的各类事务性工作，并与电力信息化、工业互联网、业务工作流等领域内的多家企业与单位保持了深入的合作关系。

欢迎各位有意展开相关领域内研究、教学改革、学术成果工具化、合作企业实践的同学通过邮件联系。

2.课程教学

2.1 软件需求课程体系（主持）：

本科专业核心课：《需求与商业模式创新》（已入选“千”层次优质课程建设、课程思政案例等校级课程建设计划，同满帮、开源中国等国内知名IT企业建立了长期的产品设计课外实践合作）

南大校级创新创业课：《互联网+时代下的软件产品设计与创新》

研究生专业课：《软件需求工程》

2.2 本科专业核心课（授课）：

《软件工程与计算III》

2.3 本科互联网开发方向课（授课）：

《服务端计算》、《面向互联网+的软件开发技术方向综合实践》

3.参加的学术机构与获得的奖励

3.1. 现担任IEEE PES智能电网与新技术委员会（智能电网与新技术集成应用技术分委会）理事

3.2. 2021年获南京大学魅力导师奖、优秀新生导师奖，2022年获东吴证券奖教金，2023年指导的一名本科生毕业论文获南京大学校级优秀毕业论文（个人二等奖）

3.3  2021年获教育部-华为“智能基座”华为云与计算先锋教师，2022年获教育部-华为“智能基座”栋梁之师

3.4  2020、2022年度南京大学研究生招生先进个人

3.5. 2017年ACM南京分会优秀博士论文奖

3.6. 与BiliBili公司某研发团队合作的会议论文《Macro Action Selection with Deep Reinforcement Learning in StarCraft》获AIIDE 2019会议Best Paper Award

4.代表性论文(本人为第一作者或通讯作者)

Hui Gao, Hongyu Kuang, Kexin Sun, Xiaoxing Ma, Alexander Egyed, Patrick Mäder, Guoping Rong, Dong Shao, and He Zhang, "Using Consensual Biterms from Text Structures of Requirements and Code to Improve IR-Based Traceability Recovery", in the proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022, 114:1

Liming Dong, He Zhang, Wei Liu, Zhiluo Weng, and Hongyu Kuang, "Semi-supervised pre-processing for learning-based traceability framework on real-world software projects", in the proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), 2022, pp.570-582

Hui Gao, Hongyu Kuang, Xiaoxing Ma, Hao Hu, Jian Lü, Patrick Mäder, and Alexander Egyed, "Propagating frugal user feedback through closeness of code dependencies to improve IR-based traceability recovery", Empirical Software Engineering (Empir. Softw. Eng. ), 2022, Volume 27, Article number: 41

Kexin Sun, Xiaobo Shi, Hui Gao, Hongyu Kuang, Xiaoxing Ma, Guoping Rong, Dong Shao, Zheng Zhao, and He Zhang, "Incorporating Pre-trained Transformer Models into TextCNN for Sentiment Analysis on Software Engineering Texts", in the proceedings of the 2022 13th Asia-Pacific Symposium on Internetware (Internetware), 2022, pp. 127 -136

Kexin Sun, Hui Gao, Hongyu Kuang, Xiaoxing Ma, Guoping Rong, Dong Shao, and He Zhang, "Exploiting the Unique Expression for Improved Sentiment Analysis in Software Engineering Text", in the proceedings of the 2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC), 2021, pp. 149 -159

Hongyu Kuang, Hui Gao, Hao Hu, Xiaoxing Ma, Jian Lü, Patrick Mäder, and Alexander Egyed, “Using Frugal User Feedback with Closeness Analysis on Code to Improve IR-Based Traceability Recovery”, in the proceedings of the 2019 IEEE/ACM 27th International Conference on Program Comprehension (ICPC), 2019, pp. 369-379

Hongyu Kuang, Jia Nie, Hao Hu, Patrick Rempel, Jian Lü, Alexander Egyed, and Patrick. Mäder, “Analyzing Closeness of Code Dependencies for Improving IR-Based Traceability Recovery”, in 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER), 2017, pp. 68-78

Hongyu Kuang, Jia Nie, Hao Hu, and Jian Lü, "Improving Automatic Identification of Outdated Requirements by Using Closeness Analysis based on Source Code Changes", in Software Engineering and Methodology for Emerging Domains: the proceedings of the 15th National Software Application Conference (NASAC), 2016, pp.52-67

Hongyu Kuang, Patrick Mäder, Hao Hu, Achraf Ghabi, LiGuo Huang, Jian Lü, and Alexander. Egyed, “Can method data dependencies support the assessment of traceability between requirements and source code?”, Journal of software: Evolution and Process (J. Softw. Evol. and Proc.), 2015, Volume 27, Issue 11, pp. 838–866.

Hongyu Kuang, Patrick Mäder, Hao Hu, Achraf Ghabi, LiGuo Huang, Jian Lü, and Alexander. Egyed, "Do data dependencies in source code complement call dependencies for understanding requirements traceability?", in 28th IEEE International Conference on Software Maintenance (ICSM), 2012, pp.181-190.