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Random Testing for Higher-Order, Stateful Programs
Testing is among the most effective tools available for finding bugs. Still, we know of no automatic technique for generating test cases that expose bugs involving a combination of mutable state and callbacks, even though objects and method overriding set up exactly that combination. For such cases,...
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Published in: | ACM SIGPLAN notices 2010-10, Vol.45 (10), p.555-566 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | Testing is among the most effective tools available for finding bugs. Still, we know of no automatic technique for generating test cases that expose bugs involving a combination of mutable state and callbacks, even though objects and method overriding set up exactly that combination. For such cases, a test generator must create callbacks or subclasses that aggressively exercise side-effecting operations using combinations of generated objects.
This paper presents a new algorithm for randomly testing programs that use state and callbacks. Our algorithm exploits a combination of contracts and environment bindings to guide the test-case generator toward interesting inputs. Our prototype implementation for Racket (formerly PLT Scheme) - which has a Java-like class system, but with first-class classes as well as gbeta-like augmentable methods - uncovered dozens of bugs in a well-tested and widely used text-editor library.
We describe our approach in a precise, formal notation, borrowing the techniques used to describe operational semantics and type systems. The formalism enables us to provide a compact and self-contained explanation of the core of our technique without the ambiguity usually present in pseudo-code descriptions. |
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ISSN: | 1523-2867 0362-1340 1558-1160 |
DOI: | 10.1145/1932682.1869505 |