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Computer Science > Programming Languages

arXiv:2310.14500 (cs)
[Submitted on 23 Oct 2023]

Title:Coyote C++: An Industrial-Strength Fully Automated Unit Testing Tool

Authors:Sanghoon Rho, Philipp Martens, Seungcheol Shin, Yeoneo Kim, Hoon Heo, SeungHyun Oh
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Abstract:Coyote C++ is an automated testing tool that uses a sophisticated concolic-execution-based approach to realize fully automated unit testing for C and C++. While concolic testing has proven effective for languages such as C and Java, tools have struggled to achieve a practical level of automation for C++ due to its many syntactical intricacies and overall complexity. Coyote C++ is the first automated testing tool to breach the barrier and bring automated unit testing for C++ to a practical level suitable for industrial adoption, consistently reaching around 90% code coverage. Notably, this testing process requires no user involvement and performs test harness generation, test case generation and test execution with "one-click" automation. In this paper, we introduce Coyote C++ by outlining its high-level structure and discussing the core design decisions that shaped the implementation of its concolic execution engine. Finally, we demonstrate that Coyote C++ is capable of achieving high coverage results within a reasonable timespan by presenting the results from experiments on both open-source and industrial software.
Subjects: Programming Languages (cs.PL); Software Engineering (cs.SE)
Cite as: arXiv:2310.14500 [cs.PL]
  (or arXiv:2310.14500v1 [cs.PL] for this version)
  https://doi.org/10.48550/arXiv.2310.14500

Submission history

From: Philipp Martens [view email]
[v1] Mon, 23 Oct 2023 02:22:14 UTC (176 KB)
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