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Any kind of smart testing technique must be very efficient to be competitive with random fuzz testing. State-of the-art test generators are largely inferior to random testing in real world applications. This work proposes to gather and evaluate lightweight analyses that can enable the creation of an efficient and sufficiently effective analysis-assisted fuzz tester. The analyses shall leverage information...
Recently, grammar-based fuzzers have been proposed to automate the generation of testing data. Grammar-based fuzzers differ from traditional fuzzers because the fuzzer is provided a grammatical definition of the test objective for the system under test. A novel fuzzer, Policy Generator (PG), is introduced. PG utilizes a number of heuristic techniques to improve space coverage over existing fuzzers...
Building comprehensive test suites for web applications poses new challenges in software testing. Coverage criteria used for traditional systems to assess the quality of test cases are simply not sufficient for complex dynamic applications. As a result, faults in web applications can often be traced to insufficient testing coverage of the complex interactions between the components. This paper presents...
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