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Loop Abstraction followed by Bounded Model Checking, or LABMC in short, is a promising recent technique for proving safety of large programs. In an experimental setup proposed last year [14], LABMC was combined with slicing and Iterative Context Extension (ICE) with the aim of achieving scalability over industrial code. In this paper, we address two major limitations of that set-up, namely i) the...
Bounded Model Checkers (BMCs) are widely used to detect violations of program properties up to a bounded execution length of the program. However when it comes to proving the properties, BMCs are unable to provide a sound result for programs with loops of large or unknown bounds. To address this limitation, we developed a new loop over-approximation technique LA. LA replaces a given loop in a program...
Static analysis of code is very effective in finding common programmer errors but it comes at a price - a large number of false positives. Model checking, on the other hand, is very precise but does not scale up. We have developed a tool that combines both techniques and also implements a novel loop abstraction. The tool was run on 2 million lines of embedded code to analyze for two properties - division...
Modeling tools such as Statemate, Simulink and Stateflow are widely used in the automotive industry to specify low level requirements and design. Systematic testing of models to achieve structural coverage such as state coverage, transition coverage or modified condition decision coverage (MCDC) helps in early defect detection. Automatic generation of test data can help in reducing the cost and improving...
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