RANGE: produce random genetic transcription networks in the NEMO language, which when compiled outputs models in Systems Biology Markup Language. Generate synthetic microarray data, or use NEMO alone to SBML-ize a network, or visualize it in cytoscape.
After a program has been thrown into the world in binary form, it can boomerang back as source code. The Boomerang reverse engineering framework is the first general native executable decompiler available to the public.
XTCC/Qscript revolves around two concepts:
1) Data collection : Qscript
2) Data analysis : XTCC
Qscript enables Market Research companies to securely collect data using online and offline mediums such as web, tablets/mobile. Different products include:
1) Pen and Paper Survey Management
Qscript enables faster and easier keyboard entry with real time logic and validation. It generates SPSS and IBM Quantum compatible data tabulation programs leading to significant time savings of up...
An open source COBOL compiler for the PC x86-32 platform.
Generates GNU assembler and requires GCC to produce a binary.
Supports Linux, BSD and MinGW 32 bit platforms.
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Highly Object Oriented Language This is an attempt to develop a new third generation general purpose programming language for x86 and x86_64 processor which tries to integrate maximum possible object oriented concepts.
Given YACC-like and LEX-like input files, yagg generates a C++ program that generates all strings of a user-specified length. yagg is easy to use, and provides a means of generating test inputs or validating a parser grammar by inspecting the strings.
The LEO-SYSGEN project deals with development of the Sysgen tool for Linux Based ECOS interface for OSEK/VDX Based RTOS. Feel free to download-develop-submit and query about it!!!
The CCC Language is yet another programming language. It is platform-independent, compact, and robust. Supports many SQL engines, has own ISAM DB engine, has terminal mode and more UI-s, is object-oriented, but it is compiled and not interpreted.
A parsing toolkit that supports both top-down (LL(1) and Simple Precedence) and bottom-up parsing (LR(0), SLR(1), LR(1) and LALR(1)). The toolkit supports generating Java parsers for all the bottom-up parsing methods, based on a CUP definition.