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The ECLiPSe Constraint Logic Programming System is designed for solving combinatorial optimization problems, for the development of new constraint solver technology and their hybrids, and for the teaching of modelling, solving and search techniques.
A Database System for Metamodeling and Method Engineering
ConceptBase.cc is a multi-user deductive and object-oriented database system for metamodeling and method engineering. Includes a graphical client that builds upon the logic-based features of the ConceptBase.cc server. The data model is O-Telos.
ConceptBase.cc can represent information at the data level (example data, traces of process executions etc.), the class level (schemas, process definitions etc.), the metaclass level (constructs of modeling languages), the meta-metaclass level...
Cedalion is a programming language that allows its users to add new abstractions and define (and use) internal DSLs. Its innovation is in the fact that it uses projectional editing to allow the new abstractions to have no syntactic limitations.
OpenESM project to promote software development of enterprise systems management. Focus areas are (Performance and Availability, Configuration Management, Data Warehousing, Reporting and Correlation).
Ignite is used to optimize the distribution of a given group of files whithin the smallest possible number medias (of any kind). Ignite is highly configurable and has a lot of options (using user-defined commands to burn the medias is only one of them).
Migma intends to help teachers to get several different multiple-choice exams based on the users original. This command line program quickly generates a number of different new tests (and their respective answer sheets).
A file-manager/desktop-environment which enables users to specify any kind of action in a uniform way, with an AI that helps you by hiding the useless options. It features a completely new user interaction paradigm called "reciprocal list narrowing".
The Prolog Expert System Shell (PESS) is a software that generates ES using basically two components: Knowledge Base, used by the ES to guide its decisions making, and Inference Machine, cable of collection the rules and generating new facts.