Used data sources Sample Clauses

Used data sources. (schemata, sizes) Presently, data from 4 bid projects for 3 countries are available. During the project, more data sets will become available. For each project, data comprise ● a set of tender documents (technical requirements) ○ In average 3 documents with 200 pages each ○ All documents are in English although many of them were translated from the original language of the tender ○ As there are various authors and translators, wording may be different in different documents, even within a project ● an export of all objects (requirements and prose) from the corresponding DOORS project in Microsoft Excel CSV format (or alternatively in ReqIF format), with the following information: ○ text (as imported from the tender document) ○ hierarchical structure of the text (i.e. context of requirements) - optional ○ type ("DEF", "Prose") ○ domains (i.e. roles of assigned stakeholders) ○ for each stakeholder: - compliance ("yes", "conditional", "no") - complianceComment (natural language text) - optional - approach (bid-specific enumeration of offered product/solution types) - approachComment (natural language text) - optional - risk ("high", "medium", "low", "no") - riskComment (natural language text) - optional ● additional information (expert knowledge) may be added as reference data for evaluation: ○ conjoint compliance incl. comment (as a group decision of all assigned stakeholders) ○ conjoint approach incl. comment (as a group decision of all assigned stakeholders in the context of the whole project) ○ conjoint risk incl. comment (as a group decision of all assigned stakeholders in the context of the whole project) For the first evaluations, such additional information will be added manually by enhancing the available test data before evaluation. Later, when an appropriate UI is available, this may be done in a more interactive way where the system suggests values and the experts confirms or rejects. Depending on the evaluation procedure, some of the data are used for tuning the algorithms (training data set) and only the remaining data are used for evaluation (test data set). Those sets will be partitioned differently for different evaluation steps. Alternatively, we consider three-fold cross-validation (as the least resource-consuming of the k-fold family). No data protection measures are required as no private data are stored in DOORS.
Sample 1
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