Search Results for "java report generator"

This is an implementation of the JSON specification according to RFC 4627. You can think of it as a low-fat alternative to XML if you want to store data on disk or transmit it over a network rather than use a verbose markup language. Both variants of the JSON generator generate UTF-8 character sequences by default. If an:ascii_only option with a true value is given, they escape all non-ASCII and control characters with \uXXXX escape sequences, and support UTF-16 surrogate pairs in order to...

Unlike Java or other languages where reflection / introspection is available, mocking is not easy with C++. Even with Google Mock, we need some hand writing. I solved this problem by using home made class declaration parser/generator that reads the class declaration (header file), then generates a mock class. What you need is to run the generator and full featured mock class is there for your unit test. ---- How to use: You need Ruby.

Thinreports is Open Source Reporting Solution, and provides a library for Ruby and a GUI Designer for Win/Mac/Linux. Thinreportsは、Ruby向けOSS帳票ツールです。 Documentation: http://www.thinreports.org/documentation Mailing list: https://groups.google.com/forum/#!forum/thinreports GitHub: https://github.com/thinreports [NOTICE] This project site is a mirror. Please see http://www.thinreports.org or https://github.com/thinreports for further details.

The project's aim is to develop a fast Method Call Graph generator for the Java Programming Language. The search proceedure combines a Finite State Machine and ad hoc parsing to allow for fast access to method definitions and method calls within the source code.

Waxeye is a parser generator based on parsing expression grammars (PEGs). It supports C, Java, Javascript, Python, Ruby and Scheme.

Squid Log Analyzer and Report Generator.

Infinite Monkeys is a code generator employing random generation and mutation of code to solve programming problems.

The purpose of SNX is to have a modular series of components that report back to a central repository and 'AI' for pattern recognition and anomoly detection. This is to help with IDS systems, and to move to the next generation of security.