We believe that bringing the idea of traditional functional test adequacy to vulnerability testing can help address the issue of test adequacy. Moreover, these approaches do not provide an indication whether a test data set is adequate for vulnerability testing or not. Unfortunately, very few approaches address the issue of testing implementations against vulnerabilities. Many approaches have been proposed to detect these vulnerabilities. Successful exploitations of these vulnerabilities may result in severe consequences such as denial of services, application state corruptions, and information leakage.
#Qspace quality testing software
Despite the rigorous use of various existing testing techniques, many vulnerabilities are discovered after the deployment of software implementations, such as buffer overflows (BOF), SQL injections, and format string bugs (FSB). However, implementations that pass functionality tests are still vulnerable to malicious attacks. Mutation-based testing can be employed to obtain adequate test data sets, and numerous mutation operators have been proposed to date to measure the adequacy of test data sets that reveal functional faults. An adequate test data set consists of test cases that can expose faults in a software implementation. One of the key issues in testing is to obtain a test data set that is able to effectively test an implementation.
#Qspace quality testing portable
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