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Well-typed generic smart-fuzzing for APIs

Abstract : Despite recent advances in program certification, testing remains a widely-used component of the software development cycle. Various flavours of testing exist: popular ones include unit testing, which consists in manually crafting test cases for specific parts of the code base, as well as QuickCheck-style testing, where instances ofa type are automatically generated to serve as test inputs. These methods of testing can be thought of as internal testing: the test routines need to access the internal representation of the data-structures that are used by the functions under test. They can also be thought of as per-function testing:a test suite is built(by hand, or automatically) for each function that must be tested.We propose a new method of external testing that applies at the level of the module interface. The core of our work is a small embedded domain-specific language to describe APIs, i.e., functions and data-types. Then, these API descriptions are used to drive generation of test-cases.
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Contributor : Scherer Gabriel Connect in order to contact the contributor
Submitted on : Thursday, December 18, 2014 - 9:09:45 AM
Last modification on : Thursday, February 3, 2022 - 11:18:48 AM
Long-term archiving on: : Saturday, April 15, 2017 - 7:22:13 AM


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  • HAL Id : hal-01094006, version 1



Thomas Braibant, Jonathan Protzenko, Gabriel Scherer. Well-typed generic smart-fuzzing for APIs. ML'14 - ACM SIGPLAN ML Family Workshop, Aug 2014, Göteborg, Sweden. ⟨hal-01094006⟩



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