Practical Extensions of a Randomized Testing Tool

Hojun Jaygarl, Carl K. Chang, Sunghun Kim
2009 2009 33rd Annual IEEE International Computer Software and Applications Conference  
Many efficient random testing algorithms for object-oriented software have been proposed due to their simplicity and reasonable code coverage; however, even the stateof-the-art random test algorithms yield very low code coverage (around 22%) on large-scale software. We propose four testing techniques to improve test coverage. The proposed techniques are pluggable to any existing random testing techniques for object-oriented software. We incorporated our techniques to a state-of-the-art random
more » ... sting tool and tested large-scale software, including Java Collections, Apache Ant, and ASM. Our experimental study shows that the proposed techniques increase at most 21% of branch coverage -a significant improvement.
doi:10.1109/compsac.2009.29 dblp:conf/compsac/JaygarlCK09 fatcat:i2xb736txjfhpfzufpdxmii4ui