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WP2 - Architecture and Requirements Analysis

WP Leader: Ionian University (IURC)

The aim of this work package is to gather the use cases and user requirements relevant to the end product of TraMOOC. The uses cases will be prioritized and lead to the specification of the overall TraMOOC system architecture, the system interfaces and the integration requirements affecting the infrastructure enhancement process, the translation engines configuration, the design of the explicit and implicit evaluation schemata, the configuration of the crowdsourcing platform, the design of the integration, dissemination and commercialization activities.

WP2 is divided into 3 Tasks. More specifically,

Task 2.1: User Requirements Analysis (UBER, IURC, K4A) (M1-M16)

End user requirements will be defined that will identify system functionality. These requirements will be refined after the first system prototype (system prototype – v.1). MOOC users (providers, students, professors) will outline use cases and needs via interviews, the analysis of which, performed by UBER and IURC, will extract the required system specifications.

Task 2.2: Design of TraMOOC Architecture (UBER, DCU, UEDIN, IURC, Radboud University, Universiteit van Tilburg, Deluxe Media Europe Ltd, K4A) (M1-M18)

In this task the extracted requirements will be analysed, plans for each individual component and module will be developed, as well as the plan for their effective integration. The architecture design will be refined after requirement re-adjustment, after the delivery of system prototype – v.1

Task 2.3: Crowdsourcing platform configuration (IURC) (M1-M17)

According to the specifications defined in the previous tasks, the most suitable crowdsourcing platform for accommodating the needs of the project’s crowdsourcing activities will be selected. The platform will be configured to support efficiently all crowdsourcing activities. Tasks will be split into easy-to-complete subtasks to ensure comprehensibility, efficiency and accuracy. Strict user control will ensure quality of crowdsourced work.

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