Reinforcing Random Testing of Arithmetic Optimization of C Compilers by Scaling up Size and Number of Expressions

Autor:	Eriko Nagai, Atsushi Hashimoto, Nagisa Ishiura
Rok vydání:	2014
Předmět:	Binary search algorithm Floating point Computer science Computation Random testing Expected value computer.software_genre Computer Science Applications Compiler Electrical and Electronic Engineering Arithmetic computer Algorithm Scaling Undefined behavior
Zdroj:	IPSJ Transactions on System LSI Design Methodology. 7:91-100
ISSN:	1882-6687
Popis:	This paper presents an enhanced method of testing validity of arithmetic optimization of C compilers us- ing randomly generated programs. Its bug detection capability is improved over an existing method by 1) generating longer arithmetic expressions and 2) accommodating multiple expressions in test programs. Undefined behavior in long expressions is successfully eliminated by modifying problematic subexpressions during computation of expected values for the expressions. A new method for including floating point operations into compiler random testing is also proposed. Furthermore, an efficient method for minimizing error inducing test programs is presented, which utilizes binary search. Experimental results show that a random test system based on our method has higher bug detection capability than existing methods; it has detected more bugs than previous method in earlier versions of GCCs and has revealed new bugs in the latest versions of GCCs and LLVMs.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ed332af88512c1773a65393036850e3b https://doi.org/10.2197/ipsjtsldm.7.91 Zobrazit plný text záznamu