Search Results for "code to flow"

The 'pysourceinfo' package provides source information on Python runtime objects based on 'inspect', 'sys', 'os', and 'imp'. The covered objects include packages, modules, functions, methods, scripts, and classes by two views: - File System View - packages, modules, and linenumbers - based on files and paths - Runtime Object View - callables, classes, and containers - based on in-memory RTTI / introspection The supported platforms are: - Linux, BSD, Unix, OS-X, Cygwin, and...

...It includes a statically-typed ORM, OAuth 2.0 provider, automated testing libraries, and OpenAPI 3.0 integration. Aqueduct's memory-isolated threads leverage every CPU without writing any code. No race conditions or complicated synchronization logic to worry about. A familiar, higher-order functional syntax makes application flow easy to construct and read. Powerful, statically typed queries enable code-completion and refactoring tools while minimizing error.

Scenario is a very simple yet neat and powerful tool for loading and managing JS scripts. Scenario is very useful for the following cases: 1. Unit testing for JS without reloading the web page and re-engineering your code. 2. Load and manage scripts stored in arrays (code management). 3. Optimize coding flow by dynamically switching among best solution per case. 4. Run scenarios either distinctly or in parallel. 5. Keep easier track of bugs and errors when deploying. So, Scenario executes multiple views of your code or multiple scenarios of your code life-time on-demand.

jMINT is a integration fault injection tool which identifies data exchanges across classes and inject faults along those path. It is primarily based on the idea of program analysis and code mutation. The cross boundary data exchanges are identified by performing data flow analysis using java byte code analysis and transformation framework-soot. Mutant injection is also done via the soot framework. jMINT tool can be used to measure the effectiveness of integration test suites.

An eclipse plugin for code coverage visualization of JUnit Tests. Especially useful for test-first development. Supported coverages include block coverage and all-uses coverage (Data Flow Analysis).