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In this paper a new vulnerability detecting method is proposed to detect buffer boundary violations. The main idea is to use the metric of array index manipulation rather than using any heuristic method. We employ a SVM-based classifier to classify the vulnerable functions and innocent functions. Then the vulnerable functions are fed to function call graph guided symbolic execution to precisely determine...
In distributed software systems and processes that use large amounts of documents there is an essential need for data mining and document classification algorithms. These algorithms are aimed at optimizing the process, making it less error prone. In this paper we deal with the problem of document classification using two machine learning algorithms. Both algorithms use stamp images in documents to...
A test oracle is a mechanism that decides whether an SUT (software under test) fails or passes a test case. We investigate how to use machine learning techniques to automatically construct test oracles for reactive programs without reliance on explicit specifications. Firstly, we present a library, called In TOL (Intelligent Test Oracle Library), for the convenient and flexible collection of test...
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