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Currently, runtime verification techniques are often presented with various alternative names, such as runtime monitoring, runtime checking, runtime reflection, runtime analysis, dynamic analysis, runtime/dynamic symbolic analysis, trace analysis, log file analysis, etc., all referring to instances of the same high-level concept applied either ...
ECLAIR – Uses formal methods-based static code analysis techniques such as abstract interpretation and model checking combined with constraint satisfaction techniques to detect or prove the absence of certain run time errors in source code. ESC/Java and ESC/Java2 – Based on Java Modeling Language, an enriched version of Java
Dynamic program analysis is the act of analyzing software that involves executing a program – as opposed to static program analysis, which does not execute it. Analysis can focus on different aspects of the software including but not limited to: behavior , test coverage , performance and security .
Arm MAP, a performance profiler supporting Linux platforms.; AppDynamics, an application performance management solution [buzzword] for C/C++ applications via SDK.; AQtime Pro, a performance profiler and memory allocation debugger that can be integrated into Microsoft Visual Studio, and Embarcadero RAD Studio, or can run as a stand-alone application.
Instead, memory safety properties must either be guaranteed by the compiler via static program analysis and automated theorem proving or carefully managed by the programmer at runtime. [11] For example, the Rust programming language implements a borrow checker to ensure memory safety, [ 12 ] while C and C++ provide no memory safety guarantees.
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Data-driven static analysis leverages extensive codebases to infer coding rules and improve the accuracy of the analysis. [16] [17] For instance, one can use all Java open-source packages available on GitHub to learn good analysis strategies. The rule inference can use machine learning techniques. [18]