ANaConDA: A Framework for Analysing Multi-threaded C/C++ Programs on the Binary Level, Version 0.4

ANaConDA: A Framework for Analysing Multi-threaded C/C++ Programs on the Binary Level, Version 0.4

Software

ANaConDA is a framework for dynamic analysis of multithreaded programs written in the C/C++ languages. The analysis is performed on the binary level using instrumentation through the Intel Pin tool. For the actual analysis, ANaConDA uses detectors focusing on various synchronisation-related defects. To increases chances to find even rarely occurring bugs, ANaConDA uses injection of noise into thread scheduling. In its 0.4 version, ANaConDA was extended by new extrapolating checkers, including, e.g., an implementation of the FastTrack data race detector, which has originally been proposed for Java programs. Further, ANaConDAs support for so-called contracts for concurrency, which allow one to analyze relative atomicity of certain method call sequences, was extended to support monitoring and distinguishing values of arguments of the involved functions. ANaConDA was also optimized in various ways in order to manage analysis of industrial code, e.g., the communication middleware DDS.

ANaConDA is a framework for dynamic analysis of multithreaded programs written in the C/C++ languages. The analysis is performed on the binary level using instrumentation through the Intel Pin tool. For the actual analysis, ANaConDA uses detectors focusing on various synchronisation-related defects. To increases chances to find even rarely occurring bugs, ANaConDA uses injection of noise into thread scheduling. In its 0.4 version, ANaConDA was extended by new extrapolating checkers, including, e.g., an implementation of the FastTrack data race detector, which has originally been proposed for Java programs. Further, ANaConDAs support for so-called contracts for concurrency, which allow one to analyze relative atomicity of certain method call sequences, was extended to support monitoring and distinguishing values of arguments of the involved functions. ANaConDA was also optimized in various ways in order to manage analysis of industrial code, e.g., the communication middleware DDS.

Concurrent programs, multithreaded programs, synchronisation, data races, deadlocks, atomicity, contracts for concurrency, dynamic analysis, noise injection.

Concurrent programs, multithreaded programs, synchronisation, data races, deadlocks, atomicity, contracts for concurrency, dynamic analysis, noise injection.

https://www.fit.vutbr.cz/research/groups/verifit/tools/anaconda/download/anaconda-0.4a-src.zip

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https://www.fit.vutbr.cz/research/groups/verifit/tools/anaconda/download/anaconda-0.4a-src.zip