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COMPSAC
2009
IEEE

Practical Extensions of a Randomized Testing Tool

10 years 22 days ago
Practical Extensions of a Randomized Testing Tool
—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 testing 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.
Hojun Jaygarl, Carl K. Chang, Sunghun Kim
Added 02 Sep 2010
Updated 02 Sep 2010
Type Conference
Year 2009
Where COMPSAC
Authors Hojun Jaygarl, Carl K. Chang, Sunghun Kim
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