@inproceedings{6779a6e1160d4cdfb3f0425bd65a48f8,
title = "A Disjoint-Partitioning Approach to Enhancing Metamorphic Testing of DBMS",
abstract = "Owing to big data, DBMS testing faces the oracle problem, that is, it is difficult to verify execution results against expected outcomes. Rigger and Su applied metamorphic testing to alleviate the challenge. We propose a disjoint-partitioning approach to extend their work. We have conducted an empirical case study on OceanBase, the DBMS associated with the world's fastest online transaction processing system. Even though Ocean- Base has been extensively tested and widely used in the industry, we have unveiled various hidden failures and crashes.",
keywords = "DBMS, failure, metamorphic testing, OceanBase, SQL, test oracle",
author = "\{Siu-Hin Tang\}, Matthew and Tse, \{T. H.\} and Zhou, \{Zhi Quan\}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 33rd IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2022 ; Conference date: 31-10-2022 Through 03-11-2022",
year = "2022",
doi = "10.1109/ISSREW55968.2022.00056",
language = "English",
series = "Proceedings - 2022 IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "130--131",
booktitle = "Proceedings - 2022 IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2022",
address = "United States",
}