AuthorsA. Arcuri, G. Fraser and J. P. Galeotti
TitleAutomated Unit Test Generation for Classes With Environment Dependencies
AfilliationSoftware Engineering, Software Engineering, Software Engineering
Project(s)The Certus Centre (SFI)
StatusPublished
Publication TypeProceedings, refereed
Year of Publication2014
Conference NameIEEE/ACM International Conference on Automated Software Engineering (ASE)
Pagination79-90
Date Published09/2014
PublisherACM/IEEE
Place PublishedNew York, USA
KeywordsConference
Abstract

Automated test generation for object-oriented software typically consists of producing sequences of calls aiming at high code coverage. In practice, the success of this process may be inhibited when classes interact with their environment, such as the file system, network, user-interactions, etc. This leads to two major problems: First, code that depends on the environment can sometimes not be fully covered simply by generating sequences of calls to a class under test. For example, execution of a branch may depend on the contents of a file. Second, even if code that is environmentdependent can be covered, the resulting tests may be unstable, i.e., they would pass when first generated, but then may fail when executed in a different environment. For example, tests on classes that make use of the system time may have failing assertions if the tests are executed at a different time than when they were generated. In this paper, we apply bytecode instrumentation to automatically separate code from its environmental dependencies, and extend the EVOSUITE Java test generation tool such that it can explicitly set the state of the environment as part of the sequences of calls it generates. Using a prototype implementation, which handles a wide range of environmental interactions such as the file system, console inputs and many non-deterministic functions of the JVM, we performed experiments on 100 Java projects randomly selected from SourceForge (the SF100 corpus). The results show significantly improved code coverage - in some cases even in the order of +80%/+90%. Furthermore, our techniques reduce the number of unstable tests by more than 50%.

Citation KeySimula.simula.1858