Visual Paradigm for UML is a Unified Modeling Language (UML) design tool that supports all UML diagrams, SysML diagrams, and entity relationship diagrams. Visual Paradigm for UML provides extensive use case modeling features, including full function UML use case diagram, flow of events editor, use case/actor grid, and activity diagram generation. Visual Paradigm for UML produces system documentation in PDF, HTML, and MS Word formats. A developer can design system documentation with the template designer. A system analyst can estimate the consequences of changes with impact analysis diagrams, such as matrix and analysis diagram. Visual Paradigm for UML generates Java code.
XWiki is a WikiWiki clone written in Java that supports many popular features of other Wikis like the Wiki syntax, version control, attachments, security, and searching, but also many advanced features like templates, database and dynamic development using scripting languages (Velocity, Groovy, Ruby, Python, PHP, and more), an extension system and skinability, J2EE scalability, an XML/RPC remote API, statistics, RSS feeds, PDF exporting, WYSIWYG editing, an Office viewer and importer, and a lot more.
LogicalDOC is a Web-based document management system that is easy to use and learn. Its architecture leverages best-of-breed Java technology to achieve a powerful and flexible solution. It supports its users with a powerful search engine (Lucene), Web service interface (JAX-WS via CXF) compatible with .NET and PHP, versioning, annotation on documents, a WebDAV interface, importing and exporting from .zip files. Documents can be organized into hierarchical folders, searched using the integrated search engine, or browsed by Tag. The system is extensible thanks to the technologies used (Spring-Hibernate) and its plugin architecture.
Apache Click is a modern JEE Web application framework, providing a natural rich client style programming model. Apache Click is designed to be very easy to learn and use, with developers getting up and running within a day. It also supports automatic component rendering, client/server side validation, full localization, and multiple template engines (currently Velocity, JSP, and FreeMarker).
AVS is a source configuration management software that embedds a bug tracking feature. It is based on a common file "check-out / check-in" procedure, which eases early conflict detection. A file can have parallel versions. A proprietary 3-way merge tool is bundled to help merging. AVS uses a development task concept, which allows grouping checked-out files for the same purpose. Users can then work on several tasks at once without confusing files. Each development task is natively linked to a change request, which can be linked to several tasks. The build manager then relies on a change request selection within a set, while still being able to unselect some tasks if needed. A user management feature, with groups and access rights, is provided to restrict access to users upon their profile.
FACTORITY is a manufacturing execution system (MES). It provides the connection between the planning and the production level of production companies. FACTORITY supplies information at any time about the current production situation and so permits fast and appropriate responses to events. The result is effective and economically optimized solutions for process planning, process control, and process tracking.
TongueTied is a Web based application that helps with the creation of keywords with support for multi-language or multi-region resources. One of the key features of TongueTied is that it allows static resources to be exported from the application and can import translations from resources into the application. The following formats are currently supported for both export and import: Java Properties, .NET Resources (.resx), CSV, and Excel. TongueTied integrates an optional work flow around a keyword to track changes to a translation and ensure the validity of that translation. Operators are allowed to query a translation if they believe it to be incorrect.
allmon is a generic system for collecting and storing various runtime metrics collections used for system performance, health, quality, and availability monitoring purposes. The system also provides a set of data-mining algorithms useful for further performance analysis. Allmon is designed to harvest different metrics values coming from many areas of monitoring infrastructure. The collected data are based on quantitative and qualitative performance and availability analysis. Allmon collaborates with other analytical tools for OLAP multidimensional analysis and data mining processing. The tool can be used for production as well as for development (profiling) and QA (load testing) purposes.