Paper Info
Title
FADATest: Fast and Adaptive Performance Regression Testing of Dynamic Binary Translation Systems
Abstract
Dynamic binary translation (DBT) is the cornerstone of many im-portant applications. In practice, however, it is quite difficult to maintain the performance efficiency of a DBT system due to its inherent complexity. Although performance regression testing is an effective approach to detect potential performance regression issues, it is not easy to apply performance regression testing to DBT sys-tems, because of the natural differences between DBT systems and common software systems and the limited availability of effective test programs. In this paper, we present FADATest, which devises several novel techniques to address these challenges. Specifically, FADATest automatically generates adaptable test programs from existing real benchmark programs of DBT systems according to the runtime characteristics of the benchmarks. The test programs can then be used to achieve highly efficient and adaptive performance regression testing of DBT systems. We have implemented a proto-type of FADATest. Experimental results show that FADATest can successfully uncover the same performance regression issues across the evaluated versions of two popular DBT systems, QEMU and Valgrind, as the original benchmark programs. Moreover, the testing efficiency is improved significantly on two different hardware platforms powered by x86-64 and AArch64, respectively.
Year
DOI
Venue
2022
10.1145/3510003.3510169
2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE)
Keywords
DocType
ISSN
Performance regression testing,DBT,Test program generation
Conference
0270-5257
ISBN
Citations 
PageRank 
978-1-6654-9589-9
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Jin Wu100.34
Jian Dong233.76
Ruili Fang311.02
Wen Zhang400.68
Wenwen Wang500.68
De-Cheng Zuo68618.87