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A test automation framework built on top of Cucumber. Intended to be used for writing various automated cucumber tests using external dependencies: - Cucumber: ${io-cucumber-ver} - Web UI Functional Tests: Selenium ${selenium-java-ver} - API Tests: RestAssured ${rest-assured-ver} Run tests using: - A Cucumber runner class for CICD setup - Built-in JavaFx Applet test runner to non-CICD setup using a fat jar c/o maven shade Report Results: - Credits to Damian Szczepanik and his project [cucumber-reporting] - Built-in reporting module [cissnei-report] forked and modified - https://github.com/damianszczepanik/cucumber-reporting

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.

Pact Specification ================== The [Pact Specification](https://github.com/bethesque/pact_specification) is a robust set of tests on the pact matching code aimed at ensuring pact library implementations across different languages have the same matching behaviour. Without adhering to these specifications there would be room for subtle issues to arise between consumers and providers using different libraries.

Wrapper types for web content strings. These strings must meet a contract that enable web applications to be secure-by-construction against important classes of vulnerabilities like XSS. This is meant to be used in conjunction with the error_prone checker, and safe template languages. https://github.com/google/safe-html-types/blob/master/README.md

A collection of scala classes for some basic wiki manipulation, contributed by the open source Sanskrit NLP project and friends. Some notable facilities: * Use bots to write to wiki projects (wiktionary, wikisource, wikipedia etc..). * Iterate through output of OCR programs such as SanskritOCR. Contributions and suggestions are invited at https://github.com/sanskrit-coders/stardict-sanskrit . (Sister projects there may also be of interest.)