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Android Runtime (ART) BEAM (Erlang) Common Language Runtime (CLR) and Mono; CPython and PyPy; crt0 (C target-specific initializer) Java virtual machine (JVM) LuaJIT; Objective-C and Swift's; V8 and Node.js; Zend Engine (PHP) Notable compilers & toolchains; GNU Compiler Collection (GCC) LLVM and Clang; MSVC
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 ...
Java — — — — Static detection of logic errors, race conditions, and redundant code. automatically extracts pre-postconditions from code. SonarQube: 2024-02-05 (10.4) Partly; framework is LGPL v3.0, but some features can be proprietary — C, C#, C++, Objective-C Java, Kotlin, Scala JavaScript, TypeScript VB.NET Python
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.
Java, ColdFusion, Apache, MongoDB Works with any Language supported by the JVM: Performs Application Performance Management and Performance and Root Cause Analysis. Combines APM and Low Level Developer Style Tooling; also includes a debugger and Java, memory, thread, and CPU profilers. Proprietary GlowCode by Electric Software, Inc. Windows
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 .
Memory debuggers work by monitoring memory access, allocations, and deallocation of memory. Many memory debuggers require applications to be recompiled with special dynamic memory allocation libraries, whose APIs are mostly compatible with conventional dynamic memory allocation libraries, or else use dynamic linking.
JPF includes a runtime module system to package such constructs into separate JPF extension projects. A number of such projects are available from the main JPF server, including a symbolic execution mode, numeric analysis, race condition detection for relaxed memory models, user interface model checking and many more.