Low-overhead and fully automated statistical debugging with abstraction refinement

Article Details
Title:	Low-overhead and fully automated statistical debugging with abstraction refinement
Article URLs:	https://doi.org/10.1145/2983990.2984005
Alternative Article URLs:
Authors:	Zhiqiang Zuo	University of California - Irvine
	Lu Fang	University of California - Irvine
	Siau-Cheng Khoo	National University of Singapore
	Guoqing (Harry) Xu	University of California - Irvine
	Shan Lu	University of Chicago
Sharing:	Unknown
Verification:	Authors have not verified information
Artifact Evaluation Badge:	Artifacts for some papers are reviewed by an artifact evaluation, reproducibility, or similarly named committee. This is one such paper that passed review. awarded
Artifact URLs:	https://bitbucket.org/z_zhiqiang/jsampler
Artifact Correspondence Email Addresses:
NSF Award Numbers:	1321179, 1409829, 1439091, 1514189, 1514256, 1613023
DBLP Key:	conf/oopsla/ZuoFKXL16
Author Comments:

ACM SIGPLAN Intl. Conf. on OO Programming, Systems, Langs., and Apps., OOPSLA 2016