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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
An advanced static analysis tool that detects potential run-time logic errors in Ada programs. CodeScene: 2023-10-13 (6.3.5) No; proprietary — C, C++, C#, Objective-C Java, Groovy, Scala JavaScript, TypeScript VB.NET Python Swift, Go, PHP, Ruby Behavioral analysis of code. Helps identify, prioritize, and manage technical debt.
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 ...
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
SpotBugs is the spiritual successor of FindBugs, carrying on from the point where it left off with support of its community. In 2016, the project lead of FindBugs was inactive but there are many issues in its community so Andrey Loskutov gave an announcement [16] to its community, and some volunteers tried creating a project with support for modern Java platform and better maintainability.
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 .
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.