Kreutzer P, Kunze T, Philippsen M (2021)
Publication Language: English
Publication Status: Accepted
Publication Type: Conference contribution, Conference Contribution
Future Publication Type: Conference contribution
Publication year: 2021
Publisher: IEEE
Pages Range: 58-69
Conference Proceedings Title: Proceedings of the International Conference on Software Maintenance and Evolution (ICSME 2021)
Event location: Luxembourg (LU)
ISBN: 978-1-6654-2882-8
URI: https://i2git.cs.fau.de/i2public/publications/-/raw/master/ICSME21.pdf
DOI: 10.1109/ICSME52107.2021.00012
Given a program that triggers a bug in a compiler (or other kind of
language processor), the goal of test case reduction is to cut away all
code that is irrelevant for the bug, i.e., to generate a smaller program
that still induces the bug. Research has proposed several
language-agnostic reduction techniques that automatically reduce
bug-inducing programs in arbitrary programming languages, but there is
no large-scale, conclusive evaluation of these algorithms yet.
Furthermore, the development of new algorithms is hampered by the
unavailability of comparable implementations of previous techniques and
of diverse test programs that trigger different bugs in real compilers.
To close these gaps and to foster future research in this area, this
paper makes three contributions: (1) A framework that includes
efficient, fine-tuned implementations of 6 state-of-the-art reducers,
(2) a diverse benchmark that comprises 321 fuzzer-generated programs in
two programming languages that trigger 110 different bugs in real
compilers, and (3) a comparative study that builds upon our framework
and benchmark and compares the reduction techniques w.r.t. their
effectiveness and efficiency. Our results show that there is no
reduction technique yet that performs best across all test cases and
languages.
Our framework and benchmark are available online and we provide the
necessary scripts and tools to replicate our study.
APA:
Kreutzer, P., Kunze, T., & Philippsen, M. (2021). Test Case Reduction: A Framework, Benchmark, and Comparative Study. In Proceedings of the International Conference on Software Maintenance and Evolution (ICSME 2021) (pp. 58-69). Luxembourg (LU), LU: IEEE.
MLA:
Kreutzer, Patrick, Tom Kunze, and Michael Philippsen. "Test Case Reduction: A Framework, Benchmark, and Comparative Study." Proceedings of the International Conference on Software Maintenance and Evolution (ICSME 2021), Luxembourg (LU) IEEE, 2021. 58-69.
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