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InteGraal has been designed in a modular way, in order to facilitate software reuse and extension. It should make it easy to test new scenarios and techniques, in particular by combining algorithms. The main features of Graal are currently the following: (1) internal storage to store data by using a SQL or RDF representation (Postgres, MySQL, HSQL, SQLite, Remote SPARQL endpoints, Local in-memory triplestores) as well as a native in-memory representation (2) data-integration capabilities for exploiting federated heterogeneous data-sources through mappings able to target systems such as SQL, RDF, and black-box (eg. Web-APIs) (3) algorithms for query-answering over heterogeneous and federated data based on query rewriting and/or forward chaining (or chase)

Each Java project should follow a given coding style. I.e., all contributions to the source code should use the same formatting rules, design principles, code patterns, idioms, etc. I published such a coding style in my GitHub project codingstyle (https://github.com/uhafner/codingstyle) - I am using this coding style in my lectures about software development at Munich University of Applied Sciences and in all of my open source projects. If you want to use this coding style as well, you can use this Maven POM as parent of your own POM. Then you get the configuration several static analysis and testing tools for free.

Cloudinary is a cloud service that offers a solution to a web application's entire image management pipeline. Upload images to the cloud. Automatically perform smart image resizing, cropping and conversion without installing any complex software. Integrate Facebook or Twitter profile image extraction in a snap, in any dimension and style to match your websites graphics requirements. Images are seamlessly delivered through a fast CDN, and much much more. This Java library allows to easily integrate with Cloudinary in Java applications.

The goal of this project is to connect architecture documentation and models while identifying missing or deviating elements (inconsistencies). An element can be any representable item of the model, like a component or a relation. To do so, we first create trace links and then make use of them and other information to identify inconsistencies. ArDoCo is actively developed by researchers of the Modelling for Continuous Software Engineering (MCSE) group of KASTEL - Institute of Information Security and Dependability at the KIT.

CipherTrust Application Data Protection offers developer-friendly software tools for encryption key management as well as application-level encryption of sensitive data. CipherTrust Application Data Protection can be deployed on premises or in private or public cloud infrastructure to secure data even when it is migrating from one environment to another, without any modifications to existing encryption or data processing policies. CipherTrust Application Data Protection harmonizes interactions between developers and IT operations who share a common goal of data security. Developers enjoy language bindings appropriate to their projects. CipherTrust Application Data Protection operates with CipherTrust Manager, providing an architecture that centralizes encryption keys for applications.

The JAX-SB Generator is a comprehensive framework to facilitate the use of XML in software languages such as Java. This framework intends to provide tools that will allow a developer to easily integrate XML interoperability, bind XML Schemas, and analyze XML Schemas for use with any software. Currently there is only one language and one application that is supported: XML Binding in Java. Next on the agenda is the development of analysis tools for XML Schema Documents. For instance, imagine a tool that will allow you to determine whether an XSD complies to best-practices. This tool will: 1) produce warnings for structures that do not comply to best-practices, 2) tell the developer whether the logical structure can be transformed linearly to a form that complies to best-practices, and 3) to automatically produce an XSD that maintains the logical structure of the original document but now fully complies to best-practices. This is just one of many tools that will be available shortly. In the meantime, check out the binding application.

Cristal-ise is a description-driven software platform originally developed to track the construction of the CMS ECAL detector of the LHC at CERN. This is its core library, known as the kernel, which manages business objects called Items. Items are entirely configured from data, called descriptions, held in other Items. Every change of a state in an Item is a consequence of an execution of an activity in that Item's lifecycle, meaning that Cristal-ise applications are completely traceable, even in their design. It also supports extensive versioning of Item description data, giving the system a high level of flexibility.

Cristal-ise is a description-driven software platform originally developed to track the construction of the CMS ECAL detector of the LHC at CERN. This is its core library, known as the kernel, which manages business objects called Items. Items are entirely configured from data, called descriptions, held in other Items. Every change of a state in an Item is a consequence of an execution of an activity in that Item's lifecycle, meaning that Cristal-ise applications are completely traceable, even in their design. It also supports extensive versioning of Item description data, giving the system a high level of flexibility.