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	Fixing Recurring Crash Bugs via Analyzing Q&A Sites
	Gao, Qing ; Zhang, Hansheng ; Wang, Jie ; Xiong, Yingfei ; Zhang, Lu ; Mei, Hong
	2015
关键词	INFORMATION-RETRIEVAL PROBABILISTIC RANKING REPAIR
英文摘要	Recurring bugs are common in software systems, especially in client programs that depend on the same framework. Existing research uses human-written templates, and is limited to certain types of bugs. In this paper, we propose a fully automatic approach to fixing recurring crash bugs via analyzing Q&A sites. By extracting queries from crash traces and retrieving a list of Q&A pages, we analyze the pages and generate edit scripts. Then we apply these scripts to target source code and filter out the incorrect patches. The empirical results show that our approach is accurate in fixing real-world crash bugs, and can complement existing bug-fixing approaches.; EI; CPCI-S(ISTP); gaoqing11@sei.pku.edu.cn; zhanghs12@sei.pku.edu.cn; wangjie14@sei.pku.edu.cn; xiongyf04@sei.pku.edu.cn; zhanglu@sei.pku.edu.cn; meih@sei.pku.edu.cn; 307-318
语种	英语
出处	30th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW)
DOI标识	10.1109/ASE.2015.81
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/436360]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Gao, Qing,Zhang, Hansheng,Wang, Jie,et al. Fixing Recurring Crash Bugs via Analyzing Q&A Sites. 2015-01-01.

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