Af-Arch is an N-tier development framework to quickly build high-quality distributed applications. It currently supports C and C# programming languages, which enables you to write client applications using them. It currently runs on GNU/Linux and Microsoft Windows, and is being used in production environments.
AutoGen is a tool designed for generating program files that contain repetitive text with varied substitutions. Its goal is to simplify the maintenance of programs that contain large amounts of repetitious text. This is especially valuable if there are several blocks of such text that must be kept synchronized. Output is specified with a Scheme-enhanced output template. Input, if required by your template, may come from AutoGen definitions, CGI data, or XML files.
The Autotoolset package complements the GNU build system by providing automatic generation of legal notices, automatic generation of GNITS-standard directory trees, a rudimentary portability framework for C++ programs, support for writing portable software that uses both Fortran and C++, additional support for writing software documentation in Texinfo and LaTeX, and a manual introducing both Autotools and the GNU build system in a unified task-oriented manner.
Brook for GPUs is a compiler and runtime implementation of the Brook stream programming language for modern graphics hardware. The goals for this project are to demonstrate general purpose programing on GPUs, to provide a useful tool for developers who want to run applications on GPUs, and to research the stream language programming model, streaming applications, and system implementations.
Build Audit is a tool that allows users to audit a software build procedure to extract and archive a lot of useful information on the build (bill of material). All the audit results are stored in a single file and can be exported. Results of different builds can be compared and a search function can find all the information about a given binary build procedure with only the MD5 of the binary file.
Build Interceptor captures the .i files of any project while it is built from source using the gcc toolchain. Anyone who has tried this on a large scale will find out that it is non-trivial to build a project from source and obtain the .i files generated during the build process. Step-by-step instructions are given on how to use the provided scripts to do this without any modification to the build process of the project you are trying to capture. These scripts were used to capture the build process of 92.5% of the projects in the Red Hat Linux 7.3 distribution.
BuildMonkey is an automated build, integration, and test platform for large-scale software development, particularly for distributed teams. It lets you manage multiple projects at once on different platforms and with different build technologies (Ant, make, gmake, etc.) and monitor SCM repositories to know what changed, when, and by whom. Build results are known immediately through email notification, and complete build logs are available via a central build dashboard. BuildMonkey integrates with the BuildMonkey EVT test suite to know the status of your host and network infrastructure at all times. Successful builds can be tagged in the SCM repository so they can be recreated.
BuildNumber is a utility to add auto-incrementing build numbers to C/C++ projects. It is written in pure C for maximum portability but can also be used with C++ projects, and should compile on any platform. Every time you rebuild your project, BuildNumber will automatically update its build number for you: set it up once, and it just works. You can compile individual files without incrementing the build number, because it only updates when you actually build or make your project.
CMake is a cross-platform, open-source build system. It is used to control the software compilation process using simple platform and compiler independent configuration files. It generates native makefiles and workspaces that can be used in the compiler environment of your choice. CMake is quite sophisticated: it is possible to support complex environments requiring system configuration, pre-processor generation, and code generation.