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Oxalis integration test. Compiles and packages everything, after which the web container is started in the pre-integration-test phase, the .war file is deployed and the tests are executed in the integration-test phase. After the tests have been executed, the web container is stopped in the post-integration-test phase. The reason for using failsafe is the fact that Surefire would fail the build in the integration-test phase, without taking down the server in the post-integration-test phase. This implementation uses Tomcat, but you may change this to your liking. See http://cargo.codehaus.org/Maven2+plugin for more information.

The UnboundID LDAP SDK for Java is a fast, comprehensive, and easy-to-use Java API for communicating with LDAP directory servers and performing related tasks like reading and writing LDIF, encoding and decoding data using base64 and ASN.1 BER, and performing secure communication. This package contains the Minimal Edition of the LDAP SDK, which is a stripped-down version of the Standard Edition that includes full support for the LDAP protocol and LDIF parsing, but omits a number of optional elements, like many of the controls and extended operations, the LDAP persistence framework, and LDAP listener framework. The Minimal Edition is primarily intended for use in space-constrained and/or memory-constrained environments, like in Android apps or embedded systems.

NoHR (Nova Hybrid Reasoner) is a plug-in for the ontology editor Protégé that allows its users to query knowledge bases composed of both an Ontology in OWL 2 EL or QL and a set of Reasoning Rules. Using a top-down reasoning approach, which means that only the part of the ontology and rules that is relevant for the query is actually evaluated, NoHR respectively combines the capabilities of ELK for OWL 2 EL and a dedicated direct translation for OWL 2 QL with the rule engine XSB Prolog to deliver very fast interactive response times. NoHR is the first hybrid reasoner of its kind for Protégé. NoHR is also distributed as an API.

eFaps is a framework used to map objects with or without attached files to a relational database and optional file systems (only for attaches files). Configurable access control can be provided down to object and attribute level depending on implementation and use case. Depending on requirements, events (like triggers) allow to implement business logic and to separate business logic from user interface. The framework includes integrations (e.g. webdav, full text search) and a web application as 'simple' configurable user interface. Some best practises, example web application modules (e.g. team work module) support administrators and implementers using this framework.

ATG DUST is a framework for building JUnit tests for applications built on the ATG Dynamo platform. This framework allows one to quickly write test code that depends up Nucleus or ATG Repositories. By using this framework one can drastically cut down on development time. It takes only a few seconds to start up a test with a repository, but it may take multiple minutes to start up an application server. To get started with DUST, take a look at http://atgdust.sourceforge.net/first-test.html. This page will walk you through the process of running a basic test which starts Nucleus. After that, read the other getting started guides to describe how to create standalone Junit tests which can startup repositories and use the DynamoHttpServletResponse classes. For only ATG10 and tested.

An implementation of a RIpple-DOwn Rule learner. It generates a default rule first and then the exceptions for the default rule with the least (weighted) error rate. Then it generates the "best" exceptions for each exception and iterates until pure. Thus it performs a tree-like expansion of exceptions.The exceptions are a set of rules that predict classes other than the default. IREP is used to generate the exceptions. For more information about Ripple-Down Rules, see: Brian R. Gaines, Paul Compton (1995). Induction of Ripple-Down Rules Applied to Modeling Large Databases. J. Intell. Inf. Syst. 5(3):211-228.