Search Results for "decision table"
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Showing 10 open source projects for "decision table"
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Meddly
Multi-terminal and Edge-valued Decision Diagram LibrarY
Meddly (Multi-terminal and Edge-valued Decision Diagram LibrarY) is a C++ library that natively supports various types of decision diagrams, including BDDs, MDDs, MTMDDs, EV+MDDs, and EV*MDDs. Advanced features include: compact and customizable node storage, configurable garbage collection, and many built-in operations (with compute table support). -
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Yaoqiang BPMN Editor
an Open Source BPMN 2.0 / DMN 1.1 Modeler
Yaoqiang BPMN Editor is a graphical editor for business process diagrams, compliant with OMG specifications (BPMN 2.0 / DMN 1.1). -
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JDecisiontable
Stop to rack your brain, start using process-oriented decision tables!
...Have a compact one-sheet-view on complex logic. 3. Have abandoned combinations documented. 4. Make sure that your decision table is (formally) neither incomplete nor inconsistent with one click. And the mathematics behind it is very easy and well documented ;-) 5. Get the test cases necessary to test your piece of logic with one click. 6. Other than in traditional decision tables, you can mix conditions and actions. => Stop to to rack your brain - start using process-oriented decision tables! ... -
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JDecisiontableLib
A library for creating decision tables written in Java.
This is a library for building decision tables and to get test specifications from it. More about decision tables and how this library works you'll find in the help files for the project JDecisiontable (which is an application build around this library): http://sourceforge.net/projects/jdecisiontable => Files => Help This library can give you decision table and test specifications as strings in json and csv format. -
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Logician is a JavaScript and C++ cross-platform Decision Table and XML based Rules Engine. Decision tables provide an efficient, easy way for expressing complex rules and deploying to the client on both the desktop and in a web browser.
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Decision Tables for Java (dt4j)
Excellent Decision Table based Rules Engine implementation in Java
DT4J is a Java implementation of Decision Table based rules engine. It supports excel based and an editor based Decision Table authoring. It integrates with Spring expressions (SpEL) to express conditions and actions. Put together it's a power rules engine. -
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SAORS
OMNET++ implementation of framework for opportunistic protocols.
Up to now, OMNET++ and the INET and INETMANET frameworks do not include an opportunistic routing protocol implementation. A careful examination reveals that there are three very distinctive stages in the decision procedure of every opportunistic routing protocol. SAORS takes advantage of this observation and incorporates it in the system architecture. It is based on the DYMO ad-hoc routing protocol. SAORS provides the necessary functions for the development of opportunistic schemes such as access to the node's routing table, a database for storing the Delay-Tolerant messages, as well as the ad-hoc functionality accomplished by DYMO. ... -
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SDT API
semantic decision table API
API for semantic decision table. Note that this package contains structural information of a semantic decision table, and algorithms of managing semantic decision tables. Implementation of rendering is not included. -
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Decision Table Preprocessor
Ccide is a Decision Table preprocessor.
Ccide reads a source program, in one of several programming languages, expands all embedded decision tables, and generates the new, expanded source. Ccidew processes C language programs directly. The script, ccide, uses ccidew and m4, to process BASIC, JAVA, CC, C++, BASH, QB, VB, and EX(euphoria), source files containing embedded decision tables. Ccide checks all conditions once and only once, avoiding side effects. Ccide checks tables for conflicts and other... -
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BuckTagger
User-assisted tool for Arabic stem entry to Buckwalter Morpho Analyzer
Using rules written in a Drools decision table, BuckTagger determines the correct Buckwalter Tag based on morphological properties of the input, automatically extracted or given by the user. At the moment, BuckTagger is not complete; it can only handle input that is: - Uninflected - In lexical form, i.e., no clitics or affixes. - A Perfect or Imperfect Verb - Preferably the first and before-last letters are diacritized/vocalized.
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