Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

9-2019

Abstract

Fuzz Testing is a largely automated testing technique that provides random and unexpected input to a program in attempt to trigger failure conditions. Much of the research conducted thus far into Fuzz Testing has focused on developing improvements to available Fuzz Testing tools and frameworks in order to improve efficiency. In this paper however, we instead look at a way in which we can reduce the amount of developer time required to integrate Fuzz Testing to help maintain an existing codebase. We accomplish this with a new technique for automatically generating Fuzz Targets, the modified versions of programs on which Fuzz Testing tools operate. We evaluated three different Fuzz Testing solutions on the codebase of our industry partner and found a fully automated solution to result in significantly more bugs found with respect to the developer time required to implement said solution. Our research is an important step towards increasing the prevalence of Fuzz Testing by making it simpler to integrate a Fuzz Testing solution for maintaining an existing codebase.

Discipline

Programming Languages and Compilers | Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

Proceedings of the 13th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, Porto de Galinhas, Brazil, 2019 September 19-20

First Page

1

Last Page

6

ISBN

9781728129686

Identifier

10.1109/ESEM.2019.8870150

Publisher

IEEE

City or Country

Piscataway, NJ

Additional URL

https://doi.org/10.1109/ESEM.2019.8870150

Download

Share

COinS