Download JAR files tagged by scenarios with all dependencies

Camunda Platform Scenarios allow you to specify the actions needed at process wait states before you start the process run. As a consequence, writing process tests becomes "behavioral" as well as easier and faster than ever before. Refactoring and changing large process models and their test suites can almost be done in the blink of an eye: ;-) Done! Check it out and judge yourself!

Usage models (Discrete Time Markov Chain (DTMC)) represents the usage scenarios of the software as well as their probability. This allows one to determine the relative importance of execution scenarios (with respect to other). This project explores the possibility to reverse engineer usage models based on execution traces contained in application logs.

This module provides an Apache Marmotta backend using blueprints abstraction on Accumulograph. This is a suitable backend in high performance or big data scenarios. It does not support rule-based reasoning and versioning. NOTE: This backend uses the Apache licensed AccumuloGraph library together with other Apache licensed products. See from https://github.com/JHUAPL/AccumuloGraph/blob/master/LICENSE.

This is a client to access Cloud Bigtable (https://cloud.google.com/bigtable/) via the HBase APIs. There are a handful of modules in this project. The bigtable-hbase-x.x projects are intendned to be the projects which users interact with. The x.x versions in the bigtable-hbase-x.x projects represent the hbase major and minor versions which the project supports. For example, bigtable-hbase-1.0 will integrate with all hbase 1.0.x releases and bigtable-hbase-1.1 will integrate with all hbase 1.1.* releases. The bigtable-protos, bigtable-client-core and bigtable-hbase modules are meant to be used as components of bigtable-hbase-x.x. Those submodules may be usedful outside of the bigtable-hbase-x.x projects, but have not been thoroughly tested in other scenarios.

Simulation for Heterogeneous and Autonomic NetworkS (SHANKS). SHANKS is a framework to simulate different network scenarios in order to add autonomic capabilities using MASON simulation framework. To achieve this goal, a multi-agent system (MAS) is used to handle possible situations in the scenario. These agents are able to analyse environment data, perform inference and self-healing actions, etc.

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)

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)

Geordi Test Framework is a Kotlin-based testing framework integrating with JUnit 5's TestTemplate for dynamic and parameterized testing. It supports file-based and parameter-based scenarios, suitable for various testing contexts. Key features include dynamic test case generation, SimulationGroup for scenario organization, and integration with JUnit 5's advanced features. It also includes a utility class, UnitSim, for method-level testing and mocking with Mockk. Geordi is inspired by the Spock framework, aiming to provide comparable functionality in a Kotlin-optimized package.